Ontologies : a handbook of principles, concepts and applications in information systems

Ontology, or the nature of being, has been a focal area of study in the philosophical disciplines for a long time. Interpreted simply, the term ontology refers to the question "what kinds of things exist?" to a philosopher, while a computer scientist grapples with the question "what kinds of things should we capture and represent?" Together, research on the two questions yield a broad framework for the analysis of a discourse universe, its representation in some abstract form and the development of organizations and systems within the universe. The philosophical perspective on ontology provides a description of the essential properties and relations of all beings in the universe, while this notion has been expanded as well as specialized in the fields of computer science and artificial intelligence. The AI/CS communities now use this notion to refer to not one but multiple ontologies. In the AI/CS perspective, an ontology refers to the specification of knowledge about entities, and their relationships and interactions in a bounded universe of discourse only. As a result, a number of bounded-universe ontologies have been created over the last decade. These include the Chemicals ontology in the chemistry area, the TOVE and Enterprise ontologies for enterprise modeling, the REA ontology in the accounting area, organizational knowledge ontology in the knowledge management area, an ontology of air campaign planning in the defense area, and the GALEN ontology in the medical informatics area.

Diana Marcela Sanchez and Jose Maria Cavero and Esperanza Marcos MartinezVasudeva VarmaRaul Valverde and Mark TolemanLi Ding and Pranam Kolari and Zhongli Ding and Sasikanth AvanchaBernd Carsten StahlBernd Carsten StahlBelen Diaz-Agudo and Pedro A. Gonzalez-CaleroDragan Djuric and Dragan Gasevic and Vladan DevedzicHiranmay Ghosh and Santanu Chaudhury and Karthik Kashyap and Brindaduti MaitiSeung Hwan Kang and Sim Kim LauTomi Kauppinen and Eero HyvonenAlexandros G. Valarakos and George Vouros and Constantine SpyropoulosMaria Vargas-Vera and Emanuela Moreale and Arthur Stutt and Enrico Motta and Fabio CiravegnaAnn M. Hickey and Alan M. DavisJyoti M. Bhat and Krishnakumar Pooloth and Manohar Moorthy and Renuka Sindhgatta and Srinivas ThonseDencho N. Batanov and Waralak VongdoiwangChu-Ren Huang and Siaw-Fong Chung and Kathleen AhrensJay A. Yusko and Martha W. EvensMiguel-Angel Sicilia and Elena Garcia-Barriocanal and Salvador Sanchez-AlonsoN.L. SardaPeter Green and Michael Rosemann and Marta IndulskaSimone A. Ludwig and S.M.S. ReyhaniLiana RazmeritaSusan Gauch and Mirco Speretta and Alexander PretschnerCharu Chandra and Armen TumanyanRicardo Jardim-Goncalves and Joao P.M.A. Silva and Antonio A.C. Monteiro and Adolfo Steiger-GarcaoStefano Borgo and Paulo LeitaoGary H. MerrillThomas Horan and Ugur Kaplancali and Richard Burkhard and Benjamin SchooleyIstvan Mezgar and Zoltan KincsesXin Zheng and Delbert HartNorberto Fernandez-Garcia and Luis Sanchez-Fernandez and Jose M. Blazquez-del-Toro and Jesus Villamor-Lugo

Foreword	p. xi
Foundations of ODIS
1 The Road Toward Ontologies	p. 3
2 Use of Ontologies for Organizational Knowledge Management and Knowledge Management Systems	p. 21
3 Ontological Evaluation of Business Models: Comparing Traditional and Component-Based Paradigms in Information Systems Re-Engineering	p. 49
4 Using Ontologies in the Semantic Web: A Survey	p. 79
5 Positivism or Non-Positivism - Tertium Non Datur	p. 115
6 Ontology, Life-World, and Responsibility in IS	p. 143
Ontological Engineering
7 An Ontological Approach to Develop Knowledge Intensive CBR Systems	p. 173
8 MDA Standards for Ontology Development	p. 215
9 Ontology Specification and Integration for Multimedia Applications	p. 265
10 Ontology Revision	p. 297
11 Modeling and Reasoning About Changes in Ontology Time Series	p. 319
12 Machine Learning-Based Maintenance of Domain-Specific Application Ontologies	p. 339
13 MnM: Semi-Automatic Ontology Population from Text	p. 373
14 An Ontological Approach to Requirements Elicitation Technique Selection	p. 403
ODIS Architectures
15 Use of Ontology for Automating Knowledge Intensive Business Processes	p. 435
16 Using Ontologies to Create Object Model for Object-Oriented Software Engineering	p. 461
17 An Ontology-Based Exploration of Knowledge Systems for Metaphor	p. 489
18 The Knowledge Collective Framework Makes Ontology Based Information Accessible, Maintainable, and Reusable	p. 519
19 Information Systems Aspects and the Ontology of Hypermedia Systems	p. 545
20 Ontology-Enabled Database Management Systems	p. 563
21 Enhancing Interoperability and Web Services Standards Through Ontological Analysis	p. 585
22 Context-Aware Ontology Selection Framework	p. 607
23 Ontology-Based User Modeling	p. 635
24 Ontology-Based User Profiles for Personalized Search	p. 665
ODIS Applications
25 Ontology-Driven Information System for Supply Chain Management	p. 697
26 Framework for Enhanced Interoperability	p. 727
27 Foundations for a Core Ontology of Manufacturing	p. 751
28 Engineering a Development Platform for Ontology-Enhanced Knowledge Applications	p. 777
29 Inductive Design and Testing of a Performance Ontology for Mobile Emergency Medical Services	p. 823
30 Development of an Ontology-Based Smart Card System Reference Architecture	p. 841
31 Using Ontologies in Mobile Surveyor	p. 365
32 The News Ontology for Professional Journalism Applications	p. 887
Index 923

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