Semantic web for dummies: [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology]
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley Publ.
2009
|
| Schriftenreihe: | Making everything easier!
|
| Schlagworte: | |
| Online-Zugang: | Cover Inhaltsverzeichnis |
| Beschreibung: | XVIII, 412 S. Ill., graph. Darst. |
| ISBN: | 9780470396797 |
Internformat
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| 245 | 1 | 0 | |a Semantic web for dummies |b [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] |c by Jeffrey T. Pollock |
| 264 | 1 | |a Hoboken, NJ |b Wiley Publ. |c 2009 | |
| 300 | |a XVIII, 412 S. |b Ill., graph. Darst. | ||
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Datensatz im Suchindex
| _version_ | 1804143227639431168 |
|---|---|
| adam_text | Titel: Semantic web for dummies
Autor: Pollock, Jeffrey T.
Jahr: 2009
Contents at a Glance
Introduction................................................................ 1
Part 1: Welcome to the Future of Data ana* the Web........7
Chapter 1: Getting the Gist of the Semantic Web..........................................................9
Chapter 2: The Semantic Web in Your Life...................................................................25
Chapter 3: The Data Web at Work for Business...........................................................43
Partlh Catch the WaVe of Smart bata Today..............67
Chapter 4: A Quick Semantic Web Primer....................................................................69
Chapter 5: Why the Semantic Web Is New Technology, Not Hype............................89
Chapter 6: The Problem with Metadata......................................................................117
Part 111: Buiidinq the Semantic Web......................... 151
Chapter 7: Using the Resource Description Framework (RDF)...............................153
Chapter 8: Speaking the Web Ontology Language.....................................................181
Chapter 9: Exploring Semantic Web Enablers............................................................225
Part IV: Puttina the Semantic Web to Work............... 247
Chapter 10: The Rise of the Information Worker.......................................................249
Chapter 11: Discovering the Enterprise Semantic Web............................................269
Chapter 12: Scalable Architectures.............................................................................295
Chapter 13: Assessment Strategies.............................................................................315
Chapter 14: Exploring the Limitations of the Semantic Web...................................329
Chapter 15: A Guide to Essential Vendor Implementations.....................................339
Part V: The Part of Tens...........................................365
Chapter 16: Ten Myths About the Semantic Web.....................................................367
Chapter 17: Ten Things to Look Forward to Beyond Web 2.0.................................377
Chapter 18: Ten Next Steps to Take from Here..........................................................387
Index......................................................................395
Table of Contents
Introduction................................................................. /
About This Book..............................................................................................1
Conventions Used in This Book.....................................................................2
Foolish Assumptions.......................................................................................2
How to Use This Book.....................................................................................3
How This Book Is Organized..........................................................................3
Part I: Welcome to the Future of Data and the Web..........................4
Part II: Catch the Wave of Smart Data Today.....................................4
Part III: Building the Semantic Web.....................................................4
Part IV: Putting the Semantic Web to Work........................................4
Part V: The Part of Tens........................................................................5
Icons Used in This Book.................................................................................5
Where to Go from Here...................................................................................5
Part h Welcome to the future of data and the Web........7
Chapter 1: Getting the Gist of the Semantic Web...................9
Exploring Different Ways of Looking at the Semantic Web......................10
Finding the Connection to Web 3.0.............................................................10
Exploring the Business Side of Semantics..................................................12
Setting Information Free...............................................................................12
Rebirthing Artificial Intelligence..................................................................13
Checking Out the Semantic Web s Origin...................................................13
Unpacking Semantic Web Baggage..............................................................14
Inflated hype and expectations..........................................................14
The legacy of artificial intelligence....................................................15
Politics of standards movements......................................................15
Instilling Simplicity in Complex Data..........................................................16
Seeing the Semantic Web s Starring Role in Web 3.0
Showcase Applications.............................................................................16
Linked open data in the cloud............................................................17
Active metadata in business systems...............................................18
Bridges across global standards........................................................19
Cutting-edge research and development for nation states............20
Recognizing Compelling Reasons for the Semantic Web.........................21
Make your life simpler.........................................................................22
Save money and time..........................................................................22
Do new projects faster........................................................................23
Semantic Web For Dummies
Chapter 2: The Semantic Web in Your Life.......................25
Taking a Look at How the Web Is Used Daily.............................................26
Exploring the Web 2.0 Movement and What It Means..............................27
An Internet microbubble.....................................................................27
Web 2.0: Technological or social?.....................................................28
Denning the Features of Web 3.0 — the Semantic Web............................28
Checking Out Some Ahead-of-the-Curve Semantic Web Sites..................32
Yahoo! Search with SearchMonkey...................................................32
Twine: Interest networking.................................................................32
Triplt: Travel aggregator.....................................................................33
Zoomlnfo: People finder......................................................................33
Dapper: Mashups and semantics.......................................................33
Peering into the Crystal Ball of the Semantic Web....................................34
Semantic Web desktop applications.................................................34
Semantic blogging................................................................................36
Semantic wikis......................................................................................37
Semantic search engines.....................................................................38
Semantic news feeds and publishing................................................40
Semantic social networks...................................................................41
Chapter 3: The Data Web at Work for Business...................43
Getting a Handle on Enterprise Data Challenges and Opportunities......44
Understanding the Difference between Information and Data................46
Evaluating the Web in Your Current Systems............................................47
Maintaining existing business applications......................................49
CIO priorities and decision making...................................................50
Grasping the Vision of the Semantic Web at Work...................................51
Flourishing in a Semantic Web Utopia........................................................53
Semantic Web applications................................................................54
Semantic Web databases....................................................................55
Semantic Web integration...................................................................55
Semantic Web directories...................................................................55
Semantic Web policies and data security.........................................56
Discovering Why Semantics Are for Everyday Businesspeople..............56
Commercial trading alliances.............................................................57
National security programs................................................................57
Business operations............................................................................57
Making the Semantic Web Choice Now......................................................58
Understanding why people buy enterprise
business software............................................................................58
Seeing the technical superiority of the Semantic Web...................63
Discovering the Semantic Web as a foundation
for modern business........................................................................66
Table of Contents
Part 11: Catch the WaUe of Smart Data Today...............67
Chapter 4: A Quick Semantic Web Primer........................69
Getting Started with RDF Data.....................................................................69
Making a statement (or two!).............................................................70
Behold: A federated data graph.........................................................72
Gleaning what the data model says...................................................75
Exploring the Semantics of RDF...................................................................77
Discovering Languages That Use RDF........................................................77
Really Simple Syndication (RSS)........................................................78
Friend of a Friend (FOAF)...................................................................80
RDF in Attributes (RDFa)....................................................................81
Web Ontology Language (OWL).........................................................84
Other Semantic Web languages.........................................................86
A Little Semantics Goes a Long Way...........................................................87
Chapter 5: Why the Semantic Web
Is New Technology, Not Hype..................................89
Tracing the Roots of the Semantic Web.....................................................90
Realizing That the Internet Is Made Up of Pages, Not Data......................91
Realizing That Web 2.0 Is for People and Semantic
Web Is for Software....................................................................................93
Databases Mean Business; So Does Semantic Web...................................95
Relational databases...........................................................................96
Columnar databases............................................................................99
Hierarchical databases......................................................................100
Graph databases................................................................................102
Object databases...............................................................................102
What Semantic Web and databases have in common..................104
Grasping Why SOA/Integration Is for Messages,
Not Data Structures.................................................................................105
Message-oriented middleware (MOM)............................................106
Enterprise application integration (EAI).........................................106
Service-oriented architecture (SOA)...............................................106
Enterprise information integration (EH).........................................108
Extract, transform, load (ETL).........................................................108
What Semantic Web has in common with
other integration technologies.....................................................109
Realizing That XML Is for Documents, Not Data.....................................110
Seeing Why Object Orientation Is a Heuristic..........................................112
Unified Modeling Language (UML)..................................................112
Java......................................................................................................113
What the Semantic Web has in common with OOP......................114
Seeing a New Beginning for Artificial Intelligence (AI)...........................114
Grasping How Semantic Web Is New and Different.................................115
Semantic Web For Dummies
Chapter 9: Exploring Semantic Web Enablers...................225
Revisiting the Semantic Web Stack...........................................................225
Unicode and URI.................................................................................227
XML......................................................................................................227
RDFandRDFS.....................................................................................227
OWL.....................................................................................................228
SPARQL...............................................................................................228
RIFandSWRL.....................................................................................228
Unifying Logic layer...........................................................................229
Proof, trust, and cryptography........................................................229
GRDDL, SAWSDL, RDFa, and SKOS..................................................230
Digging a Bit Deeper into SPARQL.............................................................230
Developing Easy RDF Models.....................................................................232
Protege................................................................................................233
XML Spy SemanticWorks..................................................................233
TopBraid Composer..........................................................................234
Finding Out Why Business Rules Are a Good Thing...............................235
RIF: A family of dialects.....................................................................236
Non-monotonic reasoning................................................................237
Fuzzy logics, statistical mining, and how they
relate to the Semantic Web...........................................................239
Grappling with Natural Language Processing (NLP)..............................240
Enabling New Operational Models............................................................241
Handling uncertainty.........................................................................242
Dynamic classification......................................................................242
Ad hoc modeling and browsing.......................................................243
Unstructured data pipeline..............................................................243
Open-source data...............................................................................244
Setting the Truthiness Dial.........................................................................244
Part W: Putting the Semantic Web to Work................247
Chapter 10: The Rise of the Information Worker.................249
Taking a Look at the Global 2000...............................................................250
Understanding the Tactical Role of Information
in Business Economics............................................................................251
Getting to Know the Types of Information Workers...............................252
Business analysts...............................................................................253
Corporate librarians..........................................................................254
Taxonomists.......................................................................................255
Ontologists..........................................................................................256
Information architects.......................................................................257
Data stewards.....................................................................................258
Database architects (DBAs).............................................................259
Table of Contents
Understanding the Needs of the Information-Centric Company...........260
Automotive manufacturing...............................................................260
Consumer packaged goods...............................................................261
Publishing...........................................................................................262
Financial services...............................................................................262
Energy/oil and gas.............................................................................263
Aiding Information Workers with the Semantic Web..............................263
Search optimization...........................................................................264
Business intelligence.........................................................................264
Metadata management......................................................................266
Data accuracy and quality................................................................267
Enterprise content visibility.............................................................267
Forecasting the Information Worker of Tomorrow.................................268
Chapter 11: Discovering the Enterprise Semantic Web...........269
Discovering the Roles within the Software Industry...............................270
Creating Semantics for Enterprise Systems.............................................271
Semantics for data integration.........................................................271
Semantics for service-oriented architectures................................274
Semantics for business intelligence and data warehousing.........276
Semantics for enterprise governance.............................................280
Enterprise metadata on steroids.....................................................282
Discovering a Single Source of Truth for the Enterprise........................283
OWL knowledgebase.........................................................................284
RDFS view layer..................................................................................286
OWL view layer..................................................................................287
RDF knowledgebase...........................................................................288
Hybrid implementations...................................................................289
Exploring Some Enterprise Semantic Web Use Cases............................290
NASA: Expert locator service...........................................................290
Eli Lilly: Targeted drug assessment.................................................291
Renault: Intelligent automobile diagnostics...................................292
Pfizer: A drug compound knowledgebase......................................292
Finding more enterprise Semantic Web use cases........................293
Chapter 12: Scalable Architectures............................295
Recognizing That This Is Not Your Father s Database...........................296
Noting Semantic Web Tool Patterns.........................................................297
Ontology as static metadata.............................................................297
Ontology as active metadata............................................................299
Triples databases...............................................................................301
Reasoners, inference engines, and rule systems...........................303
Semantic Web For Dummies
Scaling Semantic Web Tools......................................................................304
Query entailment and distribution..................................................305
Rulebase speed and scale.................................................................305
Memory-resident knowledgebase....................................................306
Relational knowledgebase................................................................306
Change management and security..................................................307
Understanding Patterns of Architectural Usage......................................307
Three-tier application approach......................................................308
Data classification as a service........................................................309
Composite data graph.......................................................................310
Intelligence at the edge.....................................................................312
Buyer Beware!..............................................................................................313
Chapter 13: Assessment Strategies............................315
Understanding the Business Problem......................................................315
The problem requires handling of unpredictable data.................316
The problem requires dynamic classification of data..................316
The problem requires ad hoc modeling and data browsing........317
The problem requires understanding unstructured data............317
The problem requires open-source data........................................318
Avoiding Common Traps in Planning Your Semantic
Web Application.......................................................................................318
Identifying Semantic Web Opportunities.................................................319
Blue Ocean Strategies........................................................................319
Operational efficiency strategies.....................................................320
Social and political implications......................................................320
Technical implications......................................................................321
Reviewing Your Assessment Checklist.....................................................321
Application behavior requirements................................................321
Application interface requirements................................................323
Application development requirements.........................................324
Scoring the Checklist and Understanding Benefits.................................326
Making the Decision....................................................................................328
Chapter 14: Exploring the Limitations of the Semantic Web.......329
Staying Within the Standards.....................................................................330
Straying Outside the Standards.................................................................331
Realizing the Implications of a Complete Semantic Web Solution........332
Tool immaturity.................................................................................332
Scalability limitations........................................................................333
Skill shortage......................................................................................333
New patterns and anti-patterns.......................................................334
Making Good Choices.................................................................................335
Partners...............................................................................................335
Timelines.............................................................................................336
Functional expectations....................................................................336
Sticking to Best Practices...........................................................................337
Table of Contents
Chapter 15: A Guide to Essential Vendor Implementations........339
Consumer Web Sites...................................................................................339
Twine...................................................................................................340
Harpers Magazine..............................................................................341
DBpedia and DBpedia Mobile...........................................................343
Yahoo!..................................................................................................345
hakia....................................................................................................346
Freebase (by Metaweb).....................................................................348
Triplt....................................................................................................349
Zoomlnfo.............................................................................................350
BBC online..........................................................................................351
Business Software........................................................................................354
Thomson Reuters Calais...................................................................354
Oracle Database.................................................................................356
IBM Registry.......................................................................................357
Garlik Online Identity Protection.....................................................358
Dow Jones Client Solutions..............................................................359
Microsoft.............................................................................................360
Metatomix Semantic Integration......................................................361
TopQuadrant TopBraid.....................................................................363
Part V: The Part of Tens............................................365
Chapter 16: Ten Myths About the Semantic Web.................367
The Semantic Web Is Science Fiction........................................................367
The Semantic Web Is for Tagging Web Sites............................................368
The Semantic Web Will Put Google Out of Business...............................369
The Semantic Web Is Too Complex to Succeed......................................370
The Semantic Web Is a Catalog System....................................................371
The Semantic Web Is an Ivory Tower Design...........................................372
The Semantic Web Is Description Logic...................................................373
The Semantic Web Is Artificial Intelligence (Again)................................374
The Semantic Web Is a $20-Billion Industry.............................................375
The Semantic Web Hasn t Changed the World........................................376
Chapter 17: Ten Things to Look Forward to Beyond Web 2.0.......377
More Cool Features on the Web Sites and Browsers
You Already Use.......................................................................................378
Dramatically More Scalable Digital Knowledge
and Machine Intelligence........................................................................379
Widespread Embedding in Enterprise Software......................................380
New Semantic Web Technical Standards.................................................381
Greater Expressivity for Core Languages.................................................381
SimpIe-to-Use Tools for Launching Your Own Personal Ontology.......382
Developers Scrambling to Take Semantic Web Training.......................382
Wltli
Semantic Web For Dummies
Semantic Advertising and Marketing Schemes........................................383
Technology Managers Planning for New Supporting Workflows..........385
Explaining Web 3.0 to Your Grandmother...............................................385
Chapter 18: Ten Next Steps to Take from Here...................387
Try Twine......................................................................................................387
Explore Yahoo! SearchMonkey..................................................................387
Check Out Calais..........................................................................................388
Read Up on RDF and OWL Modeling or Attend Training.......................389
Read the RDF and OWL Specifications.....................................................390
Contact Your Trusted Vendors.................................................................391
Write Down and Assess New Ideas...........................................................391
AskZepheira................................................................................................392
Prototype Using Open-Source and Free Software...................................392
Sell Your Boss on the Idea!.........................................................................393
Index.......................................................................395
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| spelling | Pollock, Jeffrey T. Verfasser aut Semantic web for dummies [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] by Jeffrey T. Pollock Hoboken, NJ Wiley Publ. 2009 XVIII, 412 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Making everything easier! Semantic Web (DE-588)4688372-1 gnd rswk-swf Semantic Web (DE-588)4688372-1 s DE-188 DE-576;wiley image/jpeg http://swbplus.bsz-bw.de/bsz287605221cov.htm 20090320123611 Cover HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020538953&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Pollock, Jeffrey T. Semantic web for dummies [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] Semantic Web (DE-588)4688372-1 gnd |
| subject_GND | (DE-588)4688372-1 |
| title | Semantic web for dummies [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] |
| title_auth | Semantic web for dummies [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] |
| title_exact_search | Semantic web for dummies [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] |
| title_full | Semantic web for dummies [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] by Jeffrey T. Pollock |
| title_fullStr | Semantic web for dummies [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] by Jeffrey T. Pollock |
| title_full_unstemmed | Semantic web for dummies [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] by Jeffrey T. Pollock |
| title_short | Semantic web for dummies |
| title_sort | semantic web for dummies learn to recognize how the semantic web differs from the traditional internet make sense of the technology with simple hands on exercises identify applications for semantic web technology |
| title_sub | [learn to: recognize how the Semantic Web differs from the traditional Internet ; make sense of the technology, with simple hands-on exercises ; identify applications for Semantic Web technology] |
| topic | Semantic Web (DE-588)4688372-1 gnd |
| topic_facet | Semantic Web |
| url | http://swbplus.bsz-bw.de/bsz287605221cov.htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020538953&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT pollockjeffreyt semanticwebfordummieslearntorecognizehowthesemanticwebdiffersfromthetraditionalinternetmakesenseofthetechnologywithsimplehandsonexercisesidentifyapplicationsforsemanticwebtechnology |