Verfügbarkeit: Intelligent technologies for web applications

Intelligent technologies for web applications:

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Srinivas Sajja, Priti (VerfasserIn), Akerkar, Rajendra (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Boca Raton, Fla. u.a. CRC press 2012
Schriftenreihe:	Chapman & Hall/CRC data mining and knowledge discovery series
Schlagworte:	Künstliche Intelligenz Semantic web Web site development Artificial intelligence > Computer programs COMPUTERS / Database Management / Data Mining COMPUTERS / Software Development & Engineering / Systems Analysis & Design COMPUTERS / Internet / General World Wide Web Programmierung
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	Includes bibliographical references and index
Beschreibung:	XXV, 341 S. Ill., graph. Darst.
ISBN:	9781439871621

Internformat

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Datensatz im Suchindex

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adam_text	Contents Preface ...........................................................................................................................................xix Authors ........................................................................................................................................xxv Part I: Introduction to the Web, machine learning, new AI techniques, and web intelligence Chapter 1 Introduction to World Wide Web .........................................................................3 1.1 Brief history of the Web and the Internet ..........................................................................3 1.2 Blogs ........................................................................................................................................4 1.3 Tweets .....................................................................................................................................6 1.4 Wikis .......................................................................................................................................7 1.4.1 Improving wiki content reliability, quality, and security .................................8 1.5 Collaborative mapping ......................................................................................................10 1.6 Aggregation technologies ..................................................................................................10 1.7 Open platforms, application programming interface, and programming tools .......12 1.8 Web intelligence ..................................................................................................................13 1.9 Intelligence in web applications .......................................................................................15 1.10 Organization of this book .................................................................................................16 Exercises .........................................................................................................................................18 References ......................................................................................................................................19 Chapter 2 Machine learning concepts ..................................................................................21 2.1 Introduction .........................................................................................................................21 2.2 Linear regression ................................................................................................................22 2.3 Supervised learning: Classification .................................................................................23 2.3.1 Evaluation measures ............................................................................................25 2.3.2 Decision trees ........................................................................................................27 2.4 Support vector machines ...................................................................................................28 2.5 Nearest neighbor classifiers ..............................................................................................29 2.6 Unsupervised learning: clustering ..................................................................................29 2.6.1 k-Means clustering ................................................................................................30 2.6.2 Difference between clustering and nearest neighbor prediction ..................32 2.6.3 Probabilistic clustering ........................................................................................33 2.7 Hidden Markov models .....................................................................................................33 ix x Contenis 2.8 Bayesian methods ...............................................................................................................34 2.8.1 Bayes theorem .......................................................................................................34 2.8.2 Naïve Bayes ............................................................................................................35 2.8.3 Bayesian networks ................................................................................................36 2.9 Reinforcement learning..................................................................................................... 36 2.10 Applications of machine learning ....................................................................................37 2.10.1 Speech recognition............................................................................................... 37 2.10.2 Computer vision ...................................................................................................38 2.10.3 Robotics ..................................................................................................................38 2.10.4 Software engineering and programming language....................................... 39 2.10.5 Computergames ...................................................................................................39 2.10.6 Machine learning for web ...................................................................................40 2.11 Conclusion ...........................................................................................................................40 Exercises .........................................................................................................................................41 References ......................................................................................................................................41 Chapter 3 Overview of constituents for the new artificial intelligence ........................43 3.1 Foundations of the new artificial intelligence and knowledge-based system ...........43 3.1.1 Knowledge-based systems ..................................................................................43 3.1.2 Limitations of symbolic systems ........................................................................43 3.2 Fuzzy systems .....................................................................................................................44 3.2.1 Fuzzy set and fuzzy logic ....................................................................................44 3.2.2 Fuzzy membership f unction ...............................................................................45 3.2.3 Forms and operations of fuzzy functions .........................................................46 3.2.4 Fuzzy relations and operations on fuzzy relations .........................................46 3.2.5 Fuzzy rule-based systems ..................................................................................47 3.2.6 Applications of fuzzy logic .................................................................................47 3.3 Artificial neural networks .................................................................................................48 3.3.1 Working of an artificial neuron ..........................................................................49 3.3.2 Architectures of artificial neural network ........................................................50 3.3.2.1 Multilayer perceptron architecture ...................................................50 3.3.2.2 Kohonen architecture ..........................................................................52 3.3.3 Applications of artificial neural network ..........................................................52 3.4 Genetic algorithms and evolutionary computing ..........................................................53 3.4.1 Basic principles of genetic algorithms ...............................................................54 3.4.2 An example of genetic algorithm to optimize a function ..............................56 3.4.3 Applications of genetic algorithms ....................................................................56 3.5 Rough sets ............................................................................................................................57 3.5.1 Applications of rough sets ...................................................................................58 3.6 Sof t computing ....................................................................................................................59 3.6.1 Applications of soft computing ..........................................................................59 3.7 Benefits of the new AI to World Wide Web ....................................................................60 Exercises .........................................................................................................................................60 References ......................................................................................................................................60 Chapter 4 Web intelligence _____________________________________________61 4.1 Internet, web, grid, and cloud ...........................................................................................61 4.1.1 Components of typical web ................................................................................62 4.1.2 Characteristics and benefits of the Web ............................................................63 Contents xi 4.2 Introduction to web intelligence ......................................................................................64 4.2.1 Semantic web ........................................................................................................66 4.2.2 Social intelligence .................................................................................................68 4.2.3 Search engine techniques ....................................................................................68 4.2.4 Web knowledge management .............................................................................69 4.2.5 Web information retrieval and filtering ............................................................69 4.2.6 Web mining ...........................................................................................................69 4.2.7 Web agents .............................................................................................................69 4.2.8 Human-computer integration ............................................................................70 4.3 Perspectives of WI ..............................................................................................................70 4.4 Levels of WI .........................................................................................................................72 4.4.1 Imparting intelligence at basic infrastructural level .......................................72 4.4.2 Imparting intelligence at knowledge level ........................................................72 4.4.3 Imparting intelligence at interface level ............................................................72 4.4.4 Imparting intelligence at application level .......................................................73 4.5 Goal of WI ............................................................................................................................73 4.6 Characteristics of web intelligence ..................................................................................73 4.6.1 Openness ...............................................................................................................73 4.6.2 Intelligent ...............................................................................................................73 4.6.3 Secured ...................................................................................................................74 4.6.4 User friendly ..........................................................................................................74 4.6.5 Agent based ...........................................................................................................74 4.6.6 Interoperability .....................................................................................................74 4.6.7 Global knowledge base ........................................................................................74 4.7 Challenges and issues of WI .............................................................................................75 4.7.1 Nature of knowledge ............................................................................................75 4.7.2 Volume, complexity, and unstructured environment of web ........................75 4.7.3 Development methods, protocols, security, and quality standards ..............75 4.7.4 Weak support from AI .........................................................................................75 4.8 Wisdom web ........................................................................................................................75 4.8.1 Autonomie regulation of functionalities between the resources ..................76 4.8.2 Embedding knowledge into the Web ................................................................76 4.8.3 Improving access mechanisms ...........................................................................76 4.9 Web-based support systems .............................................................................................76 4.10 Designing an intelligent web ............................................................................................77 4.11 Future of WI ........................................................................................................................77 Exercises .........................................................................................................................................78 References ......................................................................................................................................78 Part II: Information retrieval, mining, and extraction of content from the Web Chapter 5 Web information retrieval ...................................................................................83 5.1 Introduction .........................................................................................................................83 5.1.1 Managing web data ..............................................................................................83 5.1.2 Context and web IR ..............................................................................................84 5.2 Typical web search engines ...............................................................................................85 5.2.1 Introduction to web crawler ................................................................................86 xll Contents 5.2.2 Some early work in the area of web crawlers ...................................................87 5.2.3 Google searching ..................................................................................................89 5.3 Architecture of a web crawler ...........................................................................................89 5.4 Distributed crawling ..........................................................................................................92 5.5 Focused spiders/crawlers ..................................................................................................92 5.5.1 Architecture of the focused crawler ..................................................................94 5.5.2 Operational phases for the focused crawler .....................................................94 5.5.3 Measuring relevance of the focused crawlers ..................................................95 5.6 Collaborative crawling .......................................................................................................95 5.7 Some tools and open source for web crawling ...............................................................96 5.8 Information retrieval: beyond searching ........................................................................97 5.9 Models of information retrieval .......................................................................................99 5.9.1 Boolean model and its variations .......................................................................99 5.9.2 Vector space model ...............................................................................................99 5.9.3 Probabilistic models ...........................................................................................100 5.9.4 Latent semantic indexing ..................................................................................100 5.10 Performance measures in IR ...........................................................................................100 5.11 Natural language processing in conjunction with IR .................................................101 5.11.1 Generic NLP architecture of IR ........................................................................102 5.12 Knowledge-based system for information retrieval ....................................................103 5.13 Research trends .................................................................................................................106 5.13.1 Semantic inf ormation .........................................................................................106 5.13.2 Multimedia data .................................................................................................107 5.13.3 Opinion retrieval ................................................................................................107 5.14 Conclusion .........................................................................................................................107 Exercises .......................................................................................................................................107 References ....................................................................................................................................108 Chapter 6 Web mining ........................................................................................................... Ill 6.1 Introduction to web mining ............................................................................................ Ill 6.1.1 Web as a graph ....................................................................................................112 6.2 Evolution of web mining techniques .............................................................................112 6.3 Process of web mining .....................................................................................................113 6.4 Web content mining .........................................................................................................115 6.4.1 Classification .......................................................................................................115 6.4.2 Cluster analysis ...................................................................................................116 6.4.3 Association mining ............................................................................................117 6.4.4 Structured data extraction .................................................................................118 6.4.5 Unstructured content extraction ......................................................................118 6.4.6 Template matching .............................................................................................120 6.5 Web usage mining ............................................................................................................121 6.5.1 Activities in web usage mining ........................................................................121 6.5.2 Retrieval sources for web usage mining .........................................................121 6.5.3 Cleaning and data abstraction ..........................................................................122 6.5.4 Identification of required information ............................................................122 6.5.5 Pattern discovery and analysis .........................................................................123 6.6 Web structure mining ......................................................................................................123 6.6.1 HITS concept .......................................................................................................123 6.6.2 PageRank method ...............................................................................................124 Contents xiii 6.7 Sensor web mining: architecture and applications .....................................................125 6.8 Web mining software .......................................................................................................127 6.9 Opinion mining ................................................................................................................127 6.9.1 Feature-based opinion mining .........................................................................129 6.10 Other applications using AI for web mining ...............................................................129 6.11 Future research directions ..............................................................................................130 Exercises .......................................................................................................................................131 References ....................................................................................................................................131 Chapter 7 Structured data extraction ..................................................................................133 7.1 Preliminaries .....................................................................................................................133 7.1.1 Structured data ...................................................................................................133 7.1.2 Information extraction .......................................................................................135 7.1.3 Evaluation metrics ..............................................................................................137 7.1.4 Approaches to information extraction ............................................................138 7.1.5 Free, structured, and semistructured text ......................................................138 7.1.6 Web documents ...................................................................................................139 7.2 Wrapper induction ...........................................................................................................140 7.2.1 Wrappers ..............................................................................................................140 7.2.2 From information extraction to wrapper generation ....................................140 7.2.3 Wrapper generation ............................................................................................141 7.2.3.1 Semiautomated wrapper generation ...............................................142 7.2.3.2 Automated wrapper generation ......................................................145 7.2.4 Inductive learning of wrappers ........................................................................151 7.3 Locating data-rich pages ..................................................................................................152 7.3.1 Finding tables ......................................................................................................152 7.3.2 Identifying similarities ......................................................................................152 7.3.3 Heuristics on product properties .....................................................................153 7.3.4 Human intrusion ................................................................................................153 7.4 Systems for wrapper generation .....................................................................................153 7.4.1 Structured and semistructured web pages ....................................................154 7.4.1.1 ShopBot ................................................................................................154 7 A.I.I Wrapper induction environment .....................................................154 7.4.1.3 SoftMealy ............................................................................................155 7.4.1 A Supervised learning algorithm for inducing extraction rules .....156 7.4.1.5 WebMantic ..........................................................................................158 7.4.2 Semistructured and unstructured web pages ...............................................159 7.4.2.1 Robust automated production of IE rules ......................................160 7.4.2.2 Sequence rules with validation ........................................................161 7.4.2.3 WHISK .................................................................................................162 7.5 Applications and commercial systems ..........................................................................163 7.5.1 Examples of applications ...................................................................................164 7.5.2 Commercial systems ..........................................................................................164 7.5.2.1 Jungiee .................................................................................................165 7.5.2.2 Jango ....................................................................................................165 7.5.2.3 MySimon .............................................................................................166 7.6 Summary ...........................................................................................................................166 Exercises .......................................................................................................................................167 References ..................................................................................·.................................................167 Contents Part III: Semantic web and web knowledge management Chapter 8 Semantic web ........................................................................................................ 173 8.1 Introduction to semantic web .........................................................................................173 8.2 Metadata ............................................................................................................................ 174 8.2.1 Dublin core metadata standard ........................................................................176 8.2.2 Metadata objectives ............................................................................................176 8.2.2.1 Simplicity of creation and maintenance .........................................176 8.2.2.2 Commonly understood semantics ..................................................179 8.2.2.3 International scope ............................................................................179 8.2.2.4 Extensibility ........................................................................................179 8.2.2.5 Interoperability ..................................................................................179 8.3 Layered architecture of semantic web ...........................................................................180 8.3.1 Unicode and uniform resource identifier .......................................................180 8.3.2 Extensible markup language ............................................................................180 8.3.3 Resource description framework .....................................................................180 8.3.4 RDF schema .........................................................................................................181 8.3.5 Ontology ..............................................................................................................181 8.3.6 Logic and proof ...................................................................................................181 8.3.7 Trust ......................................................................................................................181 8.4 Refined architecture of semantic web ...........................................................................181 8.5 Ontology and ontology constructs .................................................................................182 8.5.1 Extensible markup language ............................................................................184 8.5.2 Resource description framework .....................................................................187 8.5.3 Web ontology language .....................................................................................188 8.5.3.1 OWL full ..............................................................................................190 8.5.3.2 OWL DL ..............................................................................................190 8.5.3.3 OWL lite ..............................................................................................190 8.5.4 Ontology interchange language .......................................................................191 8.5.5 OWL2 profile .......................................................................................................191 8.5.6 SPARQL ................................................................................................................194 8.5.6.1 Result syntaxes ...................................................................................196 8.5.6.2 Query for relationships .....................................................................1% 8.5.6.3 Transform data with CONSTRUCT ................................................1% 8.5.6.4 OPTIONAL .........................................................................................1% 8.5.6.5 Negation ..............................................................................................197 8.6 Meta-ontology ...................................................................................................................198 8.7 Ontology tools and editors ..............................................................................................198 8.8 Annotation tools ...............................................................................................................199 8.9 Inference engines ..............................................................................................................199 8.10 Semantic web applications ..............................................................................................200 8.10.1 Search engine ......................................................................................................200 8.10.2 Semantic web portals .........................................................................................201 8.10.3 Catalog management and thesaurus ...............................................................201 8.10.4 Call center ............................................................................................................201 8.10.5 е -Learning............................................................................................................ 201 8.10.6 Tourism ................................................................................................................202 8.10.7 Publishing ............................................................................................................204 8.10.8 Community and social projects ........................................................................204 Contents xv 8.10.9 e-Commerce........................................................................................................205 8.10.10 Healthcare...........................................................................................................205 8.10.11 Digital heritage ....................................................................................................205 8.10.12 Open archives..................................................................................................... 206 8.11 Semantic web interoperability and web mining ..........................................................207 8.12 Semantic web and social communities .........................................................................207 8.13 Semantic web and intelligent search .............................................................................208 8.14 Semantic web research issues .........................................................................................210 Exercises .......................................................................................................................................210 References ....................................................................................................................................211 Chapter 9 Web knowledge management ...........................................................................213 9.1 About knowledge .............................................................................................................213 9.2 Knowledge management fundamentals .......................................................................213 9.2.1 Architecture of the knowledge management process ...................................215 9.2.2 Benefits of knowledge management ................................................................216 9.2.3 Challenges of knowledge management ..........................................................217 9.3 Ontology revisited ............................................................................................................217 9.3.1 Ontology examples .............................................................................................217 9.3.2 Ontology classification .......................................................................................219 9.3.3 Parameters to build ontology ............................................................................220 9.3.4 Standards and interoperability for ontology ..................................................221 9.3.5 Ontology on the Web .........................................................................................221 9.4 Utilization of knowledge management methodologies on semantic web ...............222 9.4.1 Literature review ................................................................................................223 9.4.2 General architecture for web knowledge management ................................224 9.4.3 Semantically enhanced knowledge management .........................................225 9.4.3.1 Semantic wiki .....................................................................................226 9.4.3.2 Semantic annotation tools ................................................................227 9.4.4 Issues and challenges .........................................................................................228 9.5 Exchanging knowledge in virtual entities ....................................................................228 9.5.1 Virtual world .......................................................................................................228 9.5.2 Virtual organizations .........................................................................................229 9.5.3 Knowledge management and intelligent techniques within virtual entities ........................................................................................230 9.5.4 Virtual communities and semantic web .........................................................232 9.6 Casestudy ..........................................................................................................................233 9.7 Building the World Wide Why .......................................................................................234 9.8 Conclusion and applications ...........................................................................................234 Exercises .......................................................................................................................................235 References ....................................................................................................................................235 Chapter 10 Social network intelligence ...............................................................................239 10.1 Introduction to social networking .................................................................................239 10.1.1 Web patterns and social ecosystem .................................................................242 10.1.2 Types of social networks ....................................................................................242 10.2 Friend-of-a-friend .............................................................................................................243 10.3 Semantically interlinked online communities .............................................................248 xvi Contents 10.4 Social network analysis ...................................................................................................249 10.5 Social network data ..........................................................................................................251 10.6 hCardandXFN .................................................................................................................252 10.7 Advantages and disadvantages of social networking .................................................254 10.7.1 Advantages of social networking .....................................................................254 10.8 Social graph application programming interface ........................................................254 10.9 Social search and artificial intelligence .........................................................................255 10.9.1 Intelligent social networks ................................................................................257 10.10 Research future .................................................................................................................257 Exercises .......................................................................................................................................258 References ....................................................................................................................................258 Part IV: Agent-based web, security issues, and human-computer interaction Chapter U Agent-based web ..................................................................................................263 11.1 Introduction .......................................................................................................................263 11.2 Agents .................................................................................................................................264 11.2.1 Characteristics and advantages ........................................................................264 11.2.2 Agents and objects ..............................................................................................266 11.2.3 Agents and web services ...................................................................................266 11.3 Typology of agents ............................................................................................................267 11.3.1 Collaborative agent .............................................................................................267 11.3.2 Interface agent .....................................................................................................269 11.3.3 Mobile agent ........................................................................................................269 11.3.4 Information agent ...............................................................................................269 11.3.5 Intelligent agent ..................................................................................................270 11.3.6 Hybrid agent ........................................................................................................272 11.4 Multiagent systems ...........................................................................................................272 11.4.1 Multiagent system framework ..........................................................................273 11.4.2 Communication between agents ......................................................................274 11.5 Agent-based web ..............................................................................................................274 11.5.1 Generic architecture of agent-based web ........................................................275 11.5.2 Example agents ...................................................................................................277 11.5.2.1 Agent for query and information retrieval ....................................277 11.5.2.2 Filtering agent .....................................................................................277 11.5.2.3 Interface agent ....................................................................................278 11.5.2.4 Personal assistance agent ..................................................................278 11.5.2.5 e-Commerce agent .............................................................................279 11.5.2.6 e-Communities and agents ...............................................................279 11.5.2.7 Ontology management ......................................................................280 11.6 Hybridization of mobile agent and interface agent: A case for personalized content representation .......................................................................281 11.6.1 Mobile agents: Characteristics and working ..................................................281 11.6.2 Hybridization of a mobile agent with an interface agent .............................282 11.6.3 Personalized content representation through the hybrid agent ..................284 11.7 Casestudy ..........................................................................................................................286 11.7.1 Multiagent system for oil company .................................................................286 11.7.2 REISINA calendar agent ...................................................................................287 Contents xvii 11.7.2.1 OpenStudy.com ..................................................................................289 11.7.2.2 Cobot ....................................................................................................290 11.8 Conclusion .........................................................................................................................291 Exercises .......................................................................................................................................291 References.................................................................................................................................... 292 Chapter 12 Web security .........................................................................................................293 12.1 Introduction .......................................................................................................................293 12.2 Web vulnerabilities ...........................................................................................................294 12.2.1 Scripting languages ............................................................................................294 12.2.2 Understanding communication .......................................................................295 12.2.3 Injection flaws .....................................................................................................296 12.2.4 Cross-site scripting .............................................................................................297 12.2.5 Cross-site request forgery ..................................................................................298 12.2.6 Phishing attacks ..................................................................................................298 12.2.7 Information leakage ...........................................................................................299 12.2.8 Browsers compromising privacy ......................................................................299 12.3 Web server protection ......................................................................................................299 12.3.1 Firewall .................................................................................................................299 12.3.2 Intrusion detection system ................................................................................300 12.4 Security and privacy ........................................................................................................301 12.5 Contributions of AI for security issues .........................................................................302 Exercises .......................................................................................................................................304 References ....................................................................................................................................305 Chapter 13 Human-web interactions ...................................................................................307 13.1 Introduction .......................................................................................................................307 13.2 Features of a good website ..............................................................................................308 13.2.1 Content .................................................................................................................308 13.2.2 Information organization ..................................................................................308 13.2.3 Performance .........................................................................................................309 13.2.4 Compatibility .......................................................................................................309 13.2.5 Visual design .......................................................................................................309 13.2.6 Interaction design ...............................................................................................309 13.3 What is interaction? ..........................................................................................................309 13.3.1 Common interaction styles ...............................................................................310 13.3.2 Three-dimensional interactions .......................................................................310 13.4 Interaction design and related parameters ...................................................................311 13.5 Usability .............................................................................................................................313 13.5.1 World usability day ............................................................................................314 13.6 Process of interaction design ..........................................................................................314 13.6.1 Know your users, their requirements, and identify the objective of the system ........................................................................................................315 13.6.2 Check the feasibility and cost-benefit ratio of different alternatives .........315 13.6.3 Build selected alternatives considering content .............................................315 13.6.4 Test the developed interaction design .............................................................315 13.6.5 Conduct postimplementation review and update if required .....................315 13.7 Conceptual models of interaction ..................................................................................315 13.8 Interface ..............................................................................................................................316 Contents 13.9 Interface design methods ................................................................................................317 13.9.1 Activity-centered design ....................................................................................317 13.9.2 Body storming .....................................................................................................317 13.9.3 Contextual design ...............................................................................................318 13.9.4 Focus group .........................................................................................................318 13.9.5 Iterative design ....................................................................................................318 13.9.6 Participatory design ...........................................................................................319 13.9.7 Task analysis ........................................................................................................319 13.9.8 User-centered design ..........................................................................................319 13.9.9 Usage-centered design .......................................................................................320 13.9.10 User scenario .......................................................................................................320 13.9.11 Value-sensitive design ........................................................................................320 13.9.12 Wizard of Oz experiment ..................................................................................320 13.10 Tools for human-web interaction ...................................................................................321 13.11 Interaction evaluation methods ......................................................................................321 13.11.1 Cognitive walk-through ....................................................................................321 13.11.2 Heuristic evaluation ...........................................................................................321 13.11.3 Review-based evaluation ...................................................................................322 13.11.4 Evaluating through user participation ............................................................322 13.11.5 Evaluating implementations .............................................................................322 13.12 Human-computer interaction and human-web interaction .....................................322 13.13 Issues in human-web interactions .................................................................................323 13.14 Support of AI for human-web interactions ..................................................................323 13.14.1 Searching, retrieval and filtering, and semantic search ...............................324 13.14.2 Native language interface and fuzzy logic for web applications ................325 13.14.3 Knowledge management and knowledge representation on the Web .......325 13.14.4 Agent-based systems ..........................................................................................326 13.14.5 Modeling users experience and usability for better web interactions .......326 13.14.6 Intelligent web mining ......................................................................................326 13.14.7 Interacting with smart environments ..............................................................326 13.15 Case studies .......................................................................................................................327 13.15.1 MIT intelligent room ..........................................................................................327 13.15.2 MediaBlocks system ...........................................................................................327 13.15.3 PhotoHelix ...........................................................................................................328 13.16 Research applications .......................................................................................................328 13.17 Conclusion .........................................................................................................................329 Exercises .......................................................................................................................................329 References ....................................................................................................................................330 Index .............................................................................................................................................331
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discipline	Informatik
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id	DE-604.BV040238794
illustrated	Illustrated
indexdate	2024-07-10T00:19:43Z
institution	BVB
isbn	9781439871621
language	English
lccn	2012013489
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-025095028
oclc_num	796270247
open_access_boolean
owner	DE-473 DE-BY-UBG
owner_facet	DE-473 DE-BY-UBG
physical	XXV, 341 S. Ill., graph. Darst.
publishDate	2012
publishDateSearch	2012
publishDateSort	2012
publisher	CRC press
record_format	marc
series2	Chapman & Hall/CRC data mining and knowledge discovery series
spelling	Srinivas Sajja, Priti Verfasser (DE-588)1023276801 aut Intelligent technologies for web applications Priti Srinivas Sajja ; Rajendra Akerkar Boca Raton, Fla. u.a. CRC press 2012 XXV, 341 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Chapman & Hall/CRC data mining and knowledge discovery series Includes bibliographical references and index Künstliche Intelligenz Semantic web Web site development Artificial intelligence Computer programs COMPUTERS / Database Management / Data Mining bisacsh COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh COMPUTERS / Internet / General bisacsh World Wide Web (DE-588)4363898-3 gnd rswk-swf Programmierung (DE-588)4076370-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s World Wide Web (DE-588)4363898-3 s Programmierung (DE-588)4076370-5 s DE-604 Akerkar, Rajendra Verfasser (DE-588)140133259 aut Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025095028&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Srinivas Sajja, Priti Akerkar, Rajendra Intelligent technologies for web applications Künstliche Intelligenz Semantic web Web site development Artificial intelligence Computer programs COMPUTERS / Database Management / Data Mining bisacsh COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh COMPUTERS / Internet / General bisacsh World Wide Web (DE-588)4363898-3 gnd Programmierung (DE-588)4076370-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
subject_GND	(DE-588)4363898-3 (DE-588)4076370-5 (DE-588)4033447-8
title	Intelligent technologies for web applications
title_auth	Intelligent technologies for web applications
title_exact_search	Intelligent technologies for web applications
title_full	Intelligent technologies for web applications Priti Srinivas Sajja ; Rajendra Akerkar
title_fullStr	Intelligent technologies for web applications Priti Srinivas Sajja ; Rajendra Akerkar
title_full_unstemmed	Intelligent technologies for web applications Priti Srinivas Sajja ; Rajendra Akerkar
title_short	Intelligent technologies for web applications
title_sort	intelligent technologies for web applications
topic	Künstliche Intelligenz Semantic web Web site development Artificial intelligence Computer programs COMPUTERS / Database Management / Data Mining bisacsh COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh COMPUTERS / Internet / General bisacsh World Wide Web (DE-588)4363898-3 gnd Programmierung (DE-588)4076370-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
topic_facet	Künstliche Intelligenz Semantic web Web site development Artificial intelligence Computer programs COMPUTERS / Database Management / Data Mining COMPUTERS / Software Development & Engineering / Systems Analysis & Design COMPUTERS / Internet / General World Wide Web Programmierung
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025095028&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT srinivassajjapriti intelligenttechnologiesforwebapplications AT akerkarrajendra intelligenttechnologiesforwebapplications

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