XML topic maps: creating and using topic maps for the web
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boston
Addison-Wesley
2003
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XXIX, 605 S. Ill. |
| ISBN: | 0201749602 |
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Datensatz im Suchindex
| _version_ | 1820136789286846464 |
|---|---|
| adam_text |
XML TOPIC MAPS CREATING AND USING TOPIC MAPS FOR THE WEB JACK PARK,
EDITOR AND SAM HUNTING, TECHNICAL EDITOR R\ADDISON-WESLEY TT BOSTON *
SAN FRANCISCO * NEW YORK * TORONTO * MONTREAL LONDON * MUNICH * PARIS *
MADRID CAPETOWN * SYDNEY * TOKYO * SINGAPORE * MEXICO CITY CONTENTS
FOREWORD XVII PREFACE XIX ACKNOWLEDGMENTS XXIII CONTRIBUTORS XXV CHAPTER
1: LET THERE BE LIGHT 1 JACK PARK OPENING SALVO 1 RESOURCES 8 TOPIC
MAPS: GENERAL 8 TOPIC MAP SOFTWARE: COMMERCIAL 9 TOPIC MAP SOFTWARE:
OPEN SOURCE 9 WHAT'S IN HERE? 9 HISTORICAL AND BACKGROUND CHAPTERS 10
TECHNICAL CHAPTERS 11 FORWARD-THINKING CHAPTERS 14 CHAPTER 2:
INTRODUCTION TO THE TOPIC MAPS PARADIGM 17 MICHEL BIEZUNSKI MANAGING
COMPLEX KNOWLEDGE NETWORKS 17 PRIMARY CONSTRUCTS 18 TOPICS 18
ASSOCIATIONS 19 NAMES 19 SCOPES AND NAMESPACES 20 RULES FOR MERGING
TOPIC MAPS 21 VI CONTENTS THE BIG PICTURE: MERGING INFORMATION AND
KNOWLEDGE 22 A STEP TOWARD IMPROVED INTERCONNECTIVITY 22 DESIGN
PRINCIPLES FOR XTM 23 SIMPLICITY 23 NEUTRALITY 25 FROMLSO/IEC 13250TOXTM
.25 SUMMARY 30 ACKNOWLEDGMENTS 30 CHAPTER 3: A PERSPECTIVE ON THE
QUEST FOR GLOBAL KNOWLEDGE INTERCHANGE 31 STEVEN R. NEWCOMB INFORMATION
IS INTERESTING STUFF 32 INFORMATION AND STRUCTURE ARE INSEPARABLE 34
FORMAL LANGUAGES ARE EASIER TO COMPUTE THAN NATURAL LANGUAGES 34 GENERIC
MARKUP MAKES NATURAL LANGUAGES MORE FORMAL 35 ABRIEF HISTORY OF THE
TOPIC MAPS PARADIGM 37 DATA AND METADATA: THE RESOURCE-CENTRIC VIEW 40
METAMETADATA, METAMETAMETADATA 42 SUBJECTS AND DATA: THE SUBJECT-CENTRIC
VIEW 42 UNDERSTANDING SOPHISTICATED MARKUP VOCABULARIES 45 THE TOPIC
MAPS ATTITUDE 48 SUMMARY 50 CHAPTER 4: THE RISE AND RISE OF TOPIC MAPS
51 SAM HUNTING MILESTONES IN STANDARDS AND SPECIFICATIONS 53 XTM 1.0
VERSUS ISO 13250 54 OASIS 55 CURRENT ISO ACTIVITIES 55 MILESTONES IN
SOFTWARE 64 THE FUTURE OF TOPIC MAPS 65 THE STATE OF THE PARADIGM 65 THE
NEAR FUTURE 66 CONTENTS VII CHAPTER 5: TOPIC MAPS FROM REPRESENTATION TO
IDENTITY: CONVERSATION, NAMES, AND PUBLISHED SUBJECT INDICATORS 67
BERNARD VATANT WHAT IS THE CONVERSATION ABOUT? 67 A FINGER POINTING AT A
PLANET 69 SO WHAT ABOUT'PUBLISHED SUBJECT INDICATORS? 73 PSIS ARE
BINDING POINTS FOR SUBJECT IDENTITY 74 PSIS HAVE TO MEET HIGH QUALITY
REQUIREMENTS 75 PSIS ARE GOOD FOR PRAGMATIC BOTTOM-UP TASKS 75 PSIS
CANNOT PRETEND TO UNIVERSALITY NOR STRONG SYMBOLIC SIGNIFICATION 76 BACK
TO THE CONVERSATION SUBJECT 77 ADDENDUM: A NOTE ON THE FIGURES 79
CHAPTER 6: HOW TO START TOPIC MAPPING RIGHT AWAY WITH THE XTM
SPECIFICATION 81 SAM HUNTING XTM TOPIC MAPPING 81 WHY TOPIC MAPS? 82
APPETIZER 83 INTRODUCING , , , , AND 84 INTRODUCING 85 INTRODUCING 87
MAIN COURSE 88 INTRODUCING , , AND 89 INTRODUCING 90 DESSERT 93 BRANDY,
CIGARS 97 INTRODUCING , , AND 97 INTRODUCING 98 PAYING THE BILL AND
PUTTING ON YOUR COAT 98 SUMMARY 99 ACKNOWLEDGMENTS 100 RESOURCES 100
VIII CONTENTS CHAPTER 7: KNOWLEDGE REPRESENTATION, ONTOLOGICAL
ENGINEERING, AND TOPIC MAPS 103 LEO OBRST AND HOWARD LIU KNOWLEDGE AS
INTERPRETATION 104 DATA, KNOWLEDGE, AND INFORMATION 104 KNOWLEDGE
ISSUES: ACQUISITION, REPRESENTATION, AND MANIPULATION 106 THE ROOTS OF
ONTOLOGICAL ENGINEERING: KNOWLEDGE TECHNOLOGIES . .109 ROOT: KNOWLEDGE
REPRESENTATION 109 ROOT: KNOWLEDGE ENGINEERING 112 SLIGHTLY SHRIVELED
ROOT: EXPERT SYSTEMS (AND THEIR DEFICIENCIES) 113 NEW KNOWLEDGE
TECHNOLOGY BRANCHES: TOWARD ONTOLOGICAL ENGINEERING 116 BRANCH: THE
FORMALIZATION OF SEMANTIC NETWORKS AND THE RISE OF DESCRIPTION LOGICS
116 BRANCH: CONSTRAINT AND LOGIC PROGRAMMING 117 ONTOLOGICAL ENGINEERING
119 ONTOLOGIES AND TOPIC MAPS 124 ONTOLOGIES 124 HOW ONTOLOGIES RELATE
TO TOPIC MAPS 125 HOW TO BUILD AN ONTOLOGY 126 ONTOLOGY-DRIVEN TOPIC
MAPS 129 THE ADVANTAGES OF THE ONTOLOGY-DRIVEN TOPIC MAPS APPROACH 129
THE FUTURE OF THE ONTOLOGY-DRIVEN TOPIC MAPS APPROACH 131 SUMMARY 132
ACKNOWLEDGMENTS 133 REFERENCES 134 SELECTED INFORMATION AND RESEARCH
SITES 147 CHAPTER 8: TOPIC MAPS IN THE LIFE SCIENCES 149 JOHN PARK ARID
NEFER PARK A LITERATURE REVIEW 149 THE NEED FOR CLASSIFICATION 150 THE
FIVE KINGDOMS 151 KINGDOM ANIMALIA 152 CONTENTS IX CREATING TOPIC MAPS
FOR A WEB SITE 155 A FIRST VIEW 155 DEVELOPING THE XTM DOCUMENT 155
WHERE ARE WE NOW? 163 SUMMARY 165 RESOURCES FOR MORE INFORMATION ON THE
LIFE SCIENCES 166 CHAPTER 9: CREATING AND MAINTAINING ENTERPRISE WEB
SITES WITH TOPIC MAPS AND XSLT 167 NIKITA OGIEVETSKY THE XTM FRAMEWORK
FOR THE WEB 168 XTM AS SOURCE CODE FOR WEB SITES 171 HTML VISUALIZATION
OF TOPIC MAP CONSTRUCTS 173 TOPICS 174 SPECIAL THE SPECIAL TOPIC MAP
WEBSITE ONTOLOGY LAYER 176 XSLT LAYERS 182 THE XSLT LAYOUT LAYER 183 THE
XSLT BACK-END AND PRESENTATION LAYERS 188 QUERYING TOPIC TYPES 188
QUERYING AND DISPLAYING TOPIC NAMES 190 QUERYING AND DISPLAYING TOPIC
OCCURRENCES 192 QUERYING AND DISPLAYING TOPIC ASSOCIATIONS 195 SUMMARY
197 ACKNOWLEDGMENTS 197 REFERENCES 198 CHAPTER 10: OPEN SOURCE TOPIC MAP
SOFTWARE 199 ABOUT OPEN SOURCE SOFTWARE 199 FOUR PROJECTS 200 SEMANTEXT
204 ERIC FREESE BROWSING TOPIC MAPS 204 CREATING AND MODIFYING TOPIC
MAPS 204 DEVELOPING INFERENCE RULES 208 FUTURE PLANS 209 SUMMARY .210
CONTENTS XTM PROGRAMMING WITH TM4J 211 KAL AHMED THETM4J CORE API 211
FILE ORGANIZATION AND PACKAGING 211 PACKAGE DEPENDENCIES 213 GETTING
STARTED 213 USING THE BASIC API FEATURES 213 LOADING A TOPIC MAP 218
CREATING IMPLICIT TOPICS 220 SAVING A TOPIC MAP 221 USING THE ADVANCED
API FEATURES 223 PROPERTY CHANGE LISTENERS .225 TMP3*A SAMPLE TOPIC MAP
PROCESSING APPLICATION 228 DEFINING THE TOPIC MAP ONTOLOGY 228 DESIGNING
THE APPLICATION 229 IMPLEMENTING THE APPLICATION 230 EXTENDING THE
APPLICATION 243 TM4J FUTURE DIRECTIONS 244 SUMMARY 244 NEXIST TOPIC
MAPTESTBED .244 JACK PARK THE DEVELOPMENT OF NEXIST 245 THE PAST 245 THE
PRESENT 245 USE CASES 245 DESIGN REQUIREMENTS ; 249 THE PERSISTENT XTM
ENGINE 249 THE PERSISTENT STORE 249 THE XTM ENGINE .251 THE USER
INTERFACE 254 THE SERVER USER INTERFACE 254 THE CLIENT USER INTERFACE
254 SUMMARY 260 REFERENCES 260 CONTENTS XI GOOSEWORKS TOOLKIT .260 SAM
HUNTING PROGRAM DESIGN 261 GWTK'S OMNIVOROUS NATURE 262 ISO COMPLIANCE
263 USE CASES 263 QUERY LANGUAGE 264 CURRENT TOOLS 265 SUMMARY 265
CHAPTER 11: TOPIC MAP VISUALIZATION 267 BENEDICTE LE GRAND REQUIREMENTS
FOR TOPIC MAP VISUALIZATION 267 DIFFERENT USES FOR TOPIC MAPS 268
REPRESENTATION REQUIREMENTS .268 NAVIGATION REQUIREMENTS 269
VISUALIZATION TECHNIQUES 270 CURRENT TOPIC MAP VISUALIZATIONS 270
GENERAL VISUALIZATION TECHNIQUES 270 SUMMARY 281 REFERENCES 281 CHAPTER
12: TOPIC MAPS AND RDF 283 ERIC FREESE A SAMPLE APPLICATION: THE FAMILY
TREE 283 RDF AND TOPIC MAPS 284 AN INTRODUCTION TO RDF 284 THE
RDFDATAMODEL 285 RDF XML SYNTAX 288 RDF SCHEMA 291 THE SIMILARITIES .,
292 THE DIFFERENCES 294 COMBINING TOPIC MAPS AND RDF 295 MODELING RDF
USING TOPIC MAP SYNTAX 296 EXAMPLE 1: MARKUP SCHEMES 299 EXAMPLE 2:
TOPIC REIFICATION 300 EXAMPLE 3: ASSOCIATIONS 301 XII CONTENTS EXAMPLE
4: BAG DATA STRUCTURE :. .303 EXAMPLE 5: ANOTHER ASSOCIATION 305
EXAMPLE 6: MULTIPLE OCCURRENCES 307 EXAMPLE 7: ANOTHER BAG DATA
STRUCTURE 309 EXAMPLE 8: RDF 311 EXAMPLE 9: SORTED DATA STRUCTURES 315
EXAMPLE 10: AGGREGATION 316 EXAMPLE 11: RELATIONAL DATA STRUCTURES 320
EXAMPLE 12: DUBLIN CORE METADATA 321 SUMMARY 325 REFERENCES 325 CHAPTER
13: TOPIC MAPS AND SEMANTIC NETWORKS 327 ERIC FREESE SEMANTIC NETWORKS:
THE BASICS .328 COMPARING TOPIC MAPS, RDF, AND SEMANTIC NETWORKS 330
BUILDING SEMANTIC NETWORKS FROM TOPIC MAPS 330 PUBLISHED SUBJECT
INDICATORS 331 ASSOCIATION PROPERTIES 332 TYPE HIERARCHIES ., 334 TOPIC
MAP SCHEMAS 339 HARVESTING THE KNOWLEDGE IDENTIFIED IN MARKUP 353
IDENTIFYING AND INTERPRETING THE KNOWLEDGE FOUND WITHIN DOCUMENTS 353
SUMMARY 354 REFERENCES 355 CHAPTER 14: TOPIC MAP FUNDAMENTALS FOR
KNOWLEDGE REPRESENTATION 357 H. HOLGER RATH A SIMPLE KR EXAMPLE 357 A
QUICK REVIEW OF CONCEPTS FOR TOPIC MAPS AND KR 359 TOPIC MAP TEMPLATES
360 CLASS HIERARCHIES 362 SUPERCLASS-SUBCLASS RELATIONSHIP AS
ASSOCIATION 363 CLASS-INSTANCE RELATIONSHIP AS ASSOCIATION 364
ASSOCIATION PROPERTIES 365 CONTENTS XIII INFERENCE RULES 366 AN
INFERENCE RULE EXAMPLE 367 CONSISTENCY CONTRAINTS 373 CONSTRAINT
PATTERNS 374 TOPIC CLASS EXAMPLE 375 ASSOCIATION CLASS EXAMPLE 377
CONSTRAINTS AND CLASS HIERARCHIES 379 SUMMARY 380 REFERENCES ? 380
CHAPTER 15: TOPIC MAPS IN KNOWLEDGE ORGANIZATION 383 ALEXANDER SIGEL
SUGGESTIONS FOR READING THIS CHAPTER 383 THE OVERLAP BETWEEN KO AND TMS
384 KO, KNOWLEDGE STRUCTURES, AND TMS 385 KOXTM: IMPACT DIRECTIONS AND
OPEN QUESTIONS 386 WHAT IS KO? 391 SOME DEFINITIONS: WHAT IS AND DOES
KO? TO WHAT END KO? 391 SOME ELEMENTS OF KO THEORY: ON PROBLEMS AND
PRINCIPLES 394 KO IN PRACTICE 417 KO AS A USE CASE FOR TMS 424 KO: A
PRIMARY USE CASE FOR TMS 425 KNOWLEDGE NETWORKS IN KM: ATYPICAL KOXTM
USE CASE 425 KO ON TOPIC MAP CORE CONCEPTS (THE "T-A-O" AND "I-F-S" OF
TOPICMAPS) 426 THE POTENTIAL VALUE OF TMS FOR KO 427 TEMPORARY
IMPEDIMENTS TO TM ADOPTION: KO PREJUDICES 428 KO CHALLENGES THAT RECUR
WITH TMS 430 EXAMPLES OF KO ISSUES THAT RECUR WITH TMS 431 ILLUSTRATIVE
EXAMPLES 438 SHORTER EXAMPLES OF FRUITFUL KO WITH TMS 439 TOWARD A TM ON
KO RESOURCES: FIRST EXPERIENCES 447 A LOOK INTO THE FUTURE: TOWARD
INNOVATIVE TM-BASED INFORMATION SERVICES 449 XIV CONTENTS SUMMARY 452
ACKNOWLEDGMENTS 453 SELECTED ABBREVIATIONS 454 REFERENCES 457 CHAPTER
16: PREDICTION: A PROFOUND PARADIGM SHIFT 477 KATHLEEN M. FISHER
LANGUAGE 478 TRANSMITTING THE WORD *.'. 479 LIGHTNESS OF BEING 480 A
BRIEF HISTORY OF KNOWLEDGE REPRESENTATION AND EDUCATION 484 THE
EPHEMERAL NATURE OF MANY NEW IDEAS 487 WHAT THE RESEARCH SUGGESTS ABOUT
KNOWLEDGE REPRESENTATION AND LEARNING 488 STUDENTS LEARN FROM SEMANTIC
NETWORKS 488 STUDENTS' MODELS BECOME INCREASINGLY SIMILAR TO
INSTRUCTORS' MODELS 492 CONSTRUCTING SEMANTIC NETWORKS ALTERS THE WAYS
WE THINK AND LEARN 492 SEMANTIC NETWORK-BASED COURSES TEACH, NOT JUST
TELL 494 UNDERSTANDING RELATIONS IS UNDERSTANDING 496 A PARADIGM SHIFT:
PATTERNING SPEECH TO PATTERNING THOUGHT 498 SUMMARY 500 ACKNOWLEDGMENTS
500 REFERENCES 500 CHAPTER 17: TOPIC MAPS, THE SEMANTIC WEB, AND
EDUCATION . .507 JACK PARK WHAT IS THE SEMANTIC WEB? 508 HOW CAN TOPIC
MAPS PLAY AN IMPORTANT ROLE IN THE SEMANTIC WEB? 511 WHAT'S NEXT? 511
EDUCATION ON THE WEB 512 CONSTRUCTIVIST LEARNING THEORY 513 PRINCIPLES
OF CONSTRUCTIVIST LEARNING 513 TOWARD CONSTRUCTIVIST LEARNING
ENVIRONMENTS 514 IBIS 517 TOPIC MAPS 519 CONTENTS XV TOWARD AN
IMPLEMENTATION 521 AN APPLICATION 526 CLOSING SALVO 526 REFERENCES 527
GLOSSARY 531 APPENDIX A: TOMATOES TOPIC MAP 543 APPENDIX B: TOPIC MAP
FOR CHAPTER 9 547 APPENDIX C: XSLT STYLE SHEET FOR CHAPTER 9 563
APPENDIX D: GENEALOGICAL TOPIC MAP 569 INDEX 585 |
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| spelling | XML topic maps creating and using topic maps for the web Jack Park Boston Addison-Wesley 2003 XXIX, 605 S. Ill. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Metadata XML (Document markup language) XML gtt XML (DE-588)4501553-3 gnd rswk-swf XML (DE-588)4501553-3 s DE-604 Park, Jack Sonstige oth HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009858491&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | XML topic maps creating and using topic maps for the web |
| title_auth | XML topic maps creating and using topic maps for the web |
| title_exact_search | XML topic maps creating and using topic maps for the web |
| title_full | XML topic maps creating and using topic maps for the web Jack Park |
| title_fullStr | XML topic maps creating and using topic maps for the web Jack Park |
| title_full_unstemmed | XML topic maps creating and using topic maps for the web Jack Park |
| title_short | XML topic maps |
| title_sort | xml topic maps creating and using topic maps for the web |
| title_sub | creating and using topic maps for the web |
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| topic_facet | Metadata XML (Document markup language) XML |
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