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Ontologies

A Handbook of Principles, Concepts and Applications in Information Systems

  • Book
  • © 2007

Overview

Editors:
  1. Raj Sharman

    1. SUNY, Buffalo, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Rajiv Kishore

    1. SUNY, Buffalo, USA

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  3. Ram Ramesh

    1. SUNY, Buffalo, USA

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  • Provides a comprehensive understanding of ontologies in the context of information systems. It will provide the reader with not only introductory material to the subject, but also introduces techniques for ontology engineering
  • A research volume in that it represents new content and research issues that have not been published elsewhere
  • Growing recognition that ontological principles and concepts need not be restricted to the traditional domains of knowledge inquiry, and can be fruitfully applied to and developed further in various fields within the broader information systems area
  • Includes supplementary material: sn.pub/extras

Part of the book series: Integrated Series in Information Systems (ISIS, volume 14)

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Table of contents (32 chapters)

  1. Front Matter

    Pages i-xix
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  2. Foundations of ODIS

    1. Front Matter

      Pages 1-1
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    2. The Road Toward Ontologies

      • Diana Marcela Sánchez, José María Cavero, Esperanza Marcos Martínez
      Pages 3-20

    3. Use of Ontologies for Organizational Knowledge Management and Knowledge Management Systems

      • Vasudeva Varma
      Pages 21-47

    4. Ontological Evaluation of Business Models: Comparing Traditional and Component-Based Paradigms in Information Systems Re-Engineering

      • Raul Valverde, Mark Toleman
      Pages 49-77

    5. Using Ontologies in the Semantic Web: A Survey

      • Li Ding, Pranam Kolari, Zhongli Ding, Sasikanth Avancha
      Pages 79-113

    6. Positivism or Non-Positivism — Tertium Non Datur

      • Bernd Carsten Stahl
      Pages 115-142

    7. Ontology, Life-World, and Responsibility in IS

      • Bernd Carsten Stahl
      Pages 143-169

  3. Ontological Engineering

    1. Front Matter

      Pages 171-171
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    2. An Ontological Approach to Develop Knowledge Intensive CBR Systems

      • Belén Díaz-Agudo, Pedro A. González-Calero
      Pages 173-213

    3. MDA Standards for Ontology Development

      • Dragan Djurić, Dragan Gašević, Vladan Devedžić
      Pages 215-264

    4. Ontology Specification and Integration for Multimedia Applications

      • Hiranmay Ghosh, Santanu Chaudhury, Karthik Kashyap, Brindaduti Maiti
      Pages 265-296

    5. Ontology Revision

      • Seung Hwan Kang, Sim Kim Lau
      Pages 297-318

    6. Modeling and Reasoning About Changes in Ontology Time Series

      • Tomi Kauppinen, Eero Hyvönen
      Pages 319-338

    7. Machine Learning-Based Maintenance of Domain-Specific Application Ontologies

      • Alexandros G. Valarakos, George Vouros, Constantine Spyropoulos
      Pages 339-372

    8. MnM: Semi-Automatic Ontology Population from Text

      • Maria Vargas-Vera, Emanuela Moreale, Arthur Stutt, Enrico Motta, Fabio Ciravegna
      Pages 373-402

    9. An Ontological Approach to Requirements Elicitation Technique Selection

      • Ann M. Hickey, Alan M. Davis
      Pages 403-431

  4. ODIS Architectures

    1. Front Matter

      Pages 433-433
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    2. Use of Ontology for Automating Knowledge Intensive Business Processes

      • Jyoti M. Bhat, Krishnakumar Pooloth, Manohar Moorthy, Renuka Sindhgatta, Srinivas Thonse
      Pages 435-459

    3. Using Ontologies to Create Object Model for Object-Oriented Software Engineering

      • Dencho N. Batanov, Waralak Vongdoiwang
      Pages 461-487
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Keywords

About this book

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.

Editors and Affiliations

  • SUNY, Buffalo, USA

    Raj Sharman, Rajiv Kishore, Ram Ramesh

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