Handbook on Ontologies (eBook)

Steffen Staab, Rudi Studer (Herausgeber)

eBook Download: PDF
2010 | 2nd ed. 2009
XIX, 811 Seiten
Springer Berlin (Verlag)
978-3-540-92673-3 (ISBN)

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An ontology is a formal description of concepts and relationships that can exist for a community of human and/or machine agents. The notion of ontologies is crucial for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies considering ontology languages, ontology engineering methods, example ontologies, infrastructures and technologies for ontologies, and how to bring this all into ontology-based infrastructures and applications that are among the best of their kind. The field of ontologies has tremendously developed and grown in the five years since the first edition of the 'Handbook on Ontologies'. Therefore, its revision includes 21 completely new chapters as well as a major re-working of 15 chapters transferred to this second edition.

Preface 7
Major Changes with Respect to the 1st Edition 7
Overview of the 2nd Edition of the Handbook 8
Conclusion 15
Acknowledgments 16
References 16
Contents 17
What Is an Ontology? 20
1 Introduction 20
2 What is a Conceptualization? 22
3 What is a Proper Formal, Explicit Specification? 26
4 Why is Shared of Importance? 33
5 Discussion 35
References 36
I Ontology Representation Languages 37
Description Logics 38
1 Introduction 38
2 The Expressive Description Logic SHIQ 44
3 Describing Ontologies in SHIQ 47
4 Extensions and Variants of SHIQ 49
5 Reasoning Beyond the Standard Inference Problems 50
6 Conclusion 53
References 54
Ontologies in F-Logic 61
1 Introduction 61
2 F-Logic by Example 63
3 Implementations of F-Logic 80
4 An Industrial Application: Configuration of Test Cars 81
5 F-Logic and the Semantic Web 83
6 Conclusions 84
References 84
Resource Description Framework 87
1 Introduction: Heading for the Semantic Web 87
2 Annotation and Meaning 88
3 RDFS: A Web Ontological Schema Language 91
4 Mismatch between RDF(S) and OWL-DL 97
5 RDFS-FA: Connecting RDF(S) and OWL-DL 100
6 Related Work 102
7 Conclusion 105
References 105
Web Ontology Language: OWL 107
1 Requirements for Ontology Languages 107
2 The OWL Language 111
3 Summary 125
References 126
Ontologies and Rules 127
1 Introduction 127
2 SWRL and DL-Safe Rules 128
3 Rule Fragments of OWL 134
4 Hybrid Approaches 143
5 Conclusions 144
Acknowledgement 145
References 145
II Ontology Engineering 149
Ontology Engineering Methodology 150
1 Introduction 150
2 Implementation and Launch of KM Applications 152
3 Knowledge Meta Process 153
4 Knowledge Process 158
5 Example: Skills Management at Swiss Life 159
6 Related Work on Methodologies 162
7 Conclusion 164
References 164
Ontology Engineering and Evolution in a Distributed World Using DILIGENT 168
1 Introduction and Motivation 168
2 Developing the DILIGENT Ontology Engineering Methodology 171
3 The DILIGENT Methodology 172
4 Applying DILIGENT in Case Studies 184
5 Related Work 187
6 Conclusion 188
References 189
Formal Concept Analysis 192
1 Introduction 192
2 Formal Concept Analysis: A Theory About Concepts and Concept Hierarchies 194
3 Nested Line Diagrams 197
4 Conceptual Scaling 199
5 Iceberg Concept Lattices and Bases of Association Rules 200
6 Knowledge Acquisition with Formal Concept Analysis 203
7 Folksonomies and Triadic Concept Analysis 203
8 Ontology Engineering with Formal Concept Analysis 208
References 209
An Overview of OntoClean* 215
1 Introduction 215
2 The Basic Notions 217
3 An Extended Example 221
4 Conclusion 233
References 234
Ontology Design Patterns 235
1 Introduction 235
2 Types of Ontology Design Patterns 239
3 Towards a Catalogue and Repository of CPs 243
4 Creating and Working with CPs 249
5 Use Case Example in the Music Industry Domain 251
6 Conclusion and Remarks 253
References 254
Ontology Learning 258
1 Introduction 258
2 An Architecture and Process Model for Ontology Learning 259
3 Ontology Learning Algorithms 263
4 Ontology Learning Systems 271
5 Advanced Issues 272
6 Conclusion 275
References 275
Ontology and the Lexicon 281
1 Lexicons and Lexical Knowledge 281
2 Lexical Entries 283
3 Word Senses and the Relationships Between Them 286
4 Lexicons are not (Really) Ontologies 288
5 Lexically Based Ontologies and Ontologically Based Lexicons 295
6 Conclusion 299
Acknowledgements 299
References 299
Ontology Evaluation 305
1 Introduction 305
2 Criteria 306
3 Aspects 309
4 Vocabulary 310
5 Syntax 311
6 Structure 312
7 Semantics 313
8 Representation 315
9 Context 316
10 Other Aspects 318
11 Conclusions 319
Acknowledgements 320
References 320
Ontology Engineering Environments 326
1 Introduction 326
2 Trends of Ontology Engineering Environment 327
3 Factors of an Ontology Engineering Environment 329
4 OntoEdit 330
5 Hozo 333
6 WebODE 335
7 SWOOP 337
8 Prot ´ eg ´ e 339
9 Comparison and Discussion 340
10 Other Environments 344
11 Concluding Remarks 345
References 346
Exploring the Economical Aspects of Ontology Engineering 348
1 Introduction 348
2 Economical Aspects of Information Technology 350
3 Usage of Cost Information During the Life Cycle of an Ontology 352
4 Design of an Ontology Cost Estimation Model 354
5 ONTOCOM: A Cost Model for Ontology Engineering 358
6 Using ONTOCOM 364
7 Conclusions 366
Acknowledgments 367
References 367
III Ontologies 370
Foundational Choices in DOLCE 371
1 Introduction 371
2 Foundational Distinctions 372
3 DOLCE-CORE: The New Basis for DOLCE 382
4 Conclusions 389
References 390
An Ontology for Software 392
1 Introduction 392
2 Background 393
3 Formalization of the Software Domain 394
4 Extensions to the Core Software Ontology 401
5 Proof of Concept 406
6 Related Work 409
7 Conclusion 410
References 410
COMM: A Core Ontology for Multimedia Annotation 412
1 Introduction 412
2 Annotating Multimedia Assets on the Web 413
3 Related Work 416
4 Requirements for Designing a Multimedia Ontology 417
5 Adding Formal Semantics to MPEG-7 418
6 Expressing the Scenario in COMM 425
7 Conclusion and Future Work 428
Acknowledgments 429
References 429
Using the PSL Ontology 431
1 Introduction 431
2 How are Ontologies Used? 432
3 Basic Ontological Distinctions 434
4 Process Descriptions for Atomic Activities 439
5 Process Descriptions for Complex Activities 443
6 Summary 450
References 451
Ontologies for Formal Representation of Biological Systems 452
1 Introduction 452
2 Constructing Hypotheses and Models of Biological Systems 455
3 Ontologies Enable the Creation of a Formal Representation 461
4 Role of the Semantic Web 463
5 Summary 464
References 464
Ontologies for Cultural Heritage 469
1 Introduction 469
2 The Cultural Heritage Domain 470
3 The Schema Integration Problem 473
4 Terminology in Cultural Heritage 482
5 Conclusions 487
References 488
IV Infrastructures for Ontologies 493
RDF Storage and Retrieval Systems 494
1 Introduction 494
2 Architecture of RDF Stores 495
3 Storing RDF Data 496
4 RDF Middleware 500
5 RDF Query Languages 502
6 Scalability of RDF Stores 509
7 Beyond RDF Schema 510
8 Conclusion 511
References 512
Tableau-Based Reasoning 514
1 Introduction 514
2 Deciding the Consistency Problem for ALC Aboxes 517
3 Dealing with Tboxes 526
4 Tableau Structures for Subsumption Problems 530
5 Conclusion 531
References 532
Resolution-Based Reasoning for Ontologies 534
1 Introduction 534
2 Preliminaries 535
3 Deciding Satisfiability of ALCHI by Resolution 539
4 Reasoning by Reduction to Logic Programming 548
5 Conclusion 553
References 553
Ontology Repositories 556
1 Introduction 556
2 From Data Repositories to Ontology Repositories 558
3 Generic Ontology Repository Framework 559
4 Ontology Repositories 562
5 Ontology Repository Management Systems 568
6 Centralized Vs. Decentralized Systems 569
7 Conclusions 574
References 574
Ontology Mapping 577
1 Why Is Ontology Mapping Difficult? 577
2 Discovering Mappings 582
3 Interactive Tools for Specifying Mappings 586
4 Representations of Mappings 588
5 We Have the Mappings: Now What? 589
6 The State of the Art 590
References 592
V Ontology-Based Infrastructure and Methods 595
Ontologies and Software Engineering 596
1 Introduction 596
2 Software Engineering 597
3 Analysis 600
4 Design 604
5 Implementation and Integration 608
6 Maintenance 611
7 Conclusions 613
References 614
Semantic Web Services 619
1 Introduction 619
2 WSMO: An Ontology for Modeling Web Services 620
3 Ontologies in Web Service Descriptions 624
4 Other Frameworks for Semantic Web Service Description 633
5 Conclusions 636
References 637
Ontologies for Machine Learning 639
1 Introduction 639
2 The Machine Learning and Semantic Web Research Landscape 640
3 Ontologies for Text Mining 642
4 Similarities and Kernel Functions for Knowledge Structures 649
5 Link Mining 652
6 Statistical Relational Learning 654
7 Conclusion and Outlook 657
References 657
Information Extraction 664
1 Introduction 664
2 What Is IE? 665
3 IE as a Knowledge-Based NLP Process 670
4 Handling Named Entities 673
5 Term Analysis 675
6 Semantic Typing with Conceptual Hierarchies 676
7 Identification of Ontological Specific Relations 679
8 Discussion 681
References 683
Browsing and Navigation in Semantically Rich Spaces: Experiences with Magpie Applications 687
1 Introduction 687
2 Existing Semantic Web Browsing Applications 689
3 Semantic Web Browsing: Experiences with Magpie 697
4 Future of Semantic Browsing 700
5 Discussion 704
References 707
VI Ontology-Based Applications 710
Ontologies for Knowledge Management 711
1 Information Technology for Knowledge Management 711
2 Requirements for KM Software and Ontologies 715
3 Ontologies in Intelligence-Enhanced Applications 719
4 Ontologies Towards Enhanced Integrated Solutions 726
5 Future Trends 727
References 728
Application of Ontologies in Bioinformatics 733
1 Introduction 733
2 Classifying Uses of Bio-Ontologies 735
3 Case Studies 739
4 Discussion 749
References 750
Semantic Portals for Cultural Heritage 755
1 Benefits of Cultural Semantic Portals 755
2 Content Models for Semantic Cultural Portals 757
3 Cultural Content Creation 763
4 Semantic Portal Services 766
5 Conclusions 771
References 772
Ontology-Based Recommender Systems 777
1 Introduction 777
2 Ontology Use in Recommender Systems 779
3 Case Study: Two Ontological Recommender Systems 782
4 Case Study: Experimentation Results 787
5 Case Study: Conclusions 792
References 793
Author Index 795
Subject Index 797

Erscheint lt. Verlag 14.3.2010
Reihe/Serie International Handbooks on Information Systems
International Handbooks on Information Systems
Zusatzinfo XIX, 811 p. 121 illus.
Verlagsort Berlin
Sprache englisch
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik
Technik
Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management Wirtschaftsinformatik
Schlagworte Analysis • conceptual modeling • Information • information system • Intelligent system • knowledge management • learning • mapping • Ontology • Revision • semantic web • Web service
ISBN-10 3-540-92673-9 / 3540926739
ISBN-13 978-3-540-92673-3 / 9783540926733
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