Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems

929 Pages·2007·12.915 MB·English

by  Diana Marcela Sánchez, José María Cavero, Esperanza Marcos Martínez (auth.), Raj Sharman, Rajiv Kishore, Ram Ramesh (eds.)

ONTOLOGIES
A Handbook of Principles, Concepts
and Applications in Information
Systems
INTEGRATED SERIES IN INFORMATION SYSTEMS
Series Editors
Professor Ramesh Sharda Prof. Dr. Stefan Voß
Oklahoma State University Universität Hamburg

Other published titles in the series:
E-BUSINESS MANAGEMENT: Integration of Web Technologies with Business
Models/ edited by Michael J. Shaw
VIRTUAL CORPORATE UNIVERSITIES: A Matrix of Knowledge and Learning
for the New Digital Dawn/Walter R.J. Baets & Gert Van der Linden
SCALABLE ENTERPRISE SYSTEMS: An Introduction to Recent Advances/
edited by Vittal Prabhu, Soundar Kumara, Manjunath Kamath
LEGAL PROGRAMMING: Legal Compliance for RFID and Software Agent
Ecosystems in Retail Processes and Beyond/ Brian Subirana and Malcolm Bain
LOGICAL DATA MODELING: What It Is and How To Do It/ Alan Chmura and
J. Mark Heumann
DESIGNING AND EVALUATING E-MANAGEMENT DECISION TOOLS: The
Integration of Decision and Negotiation Models into Internet-Multimedia
Technologies/ Giampiero E.G. Beroggi
INFORMATION AND MANAGEMENT SYSTEMS FOR PRODUCT
CUSTOMIZATION/ Thorsten Blecker et al
MEDICAL INFORMATICS: Knowledge Management and Data Mining in
Biomedicine/edited by Hsinchun Chen et al
KNOWLEDGE MANAGEMENT AND MANAGEMENT LEARNING: Extending
the Horizons of Knowledge-Based Management/ edited by Walter Baets
INTELLIGENCE AND SECURITY INFORMATICS FOR INTERNATIONAL
SECURITY: Information Sharing and Data Mining/ Hsinchun Chen
ENTERPRISE COLLABORATION: On-Demand Information Exchange for
Extended Enterprises/ David Levermore & Cheng Hsu
SEMANTIC WEB AND EDUCATION/ Vladan Devedžić
INFORMATION SYSTEMS ACTION RESEARCH: An Applied View of Emerging
Concepts and Methods/ Ned Kock
ONTOLOGIES
A Handbook of Principles, Concepts
and Applications in Information
Systems
edited by
Raj Sharman
Rajiv Kishore
Ram Ramesh
Raj Sharman Rajiv Kishore Ram Ramesh
SUNY Buffalo SUNY Buffalo SUNY Buffalo
New York, USA New York, USA New York, USA
Library of Congress Control Number: 2006930394
ISBN-10: 0-387-37019-6 (HB) ISBN-10: 0-387-37022-6 (e-book)
ISBN-13: 978-0387-37019-4 (HB) ISBN-13: 978-0387-37022-4 (e-book)
Printed on acid-free paper.
©2007 by Springer Science+Business Media, LLC
All rights reserved. This work may not be translated or copied in whole or in
part without the written permission of the publisher (Springer Science+Business
Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief
excerpts in connection with reviews or scholarly analysis. Use in connection
with any form of information storage and retrieval, electronic adaptation,
computer software, or by similar or dissimilar methodology now known or
hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks and
similar terms, even if the are not identified as such, is not to be taken as an
expression of opinion as to whether or not they are subject to proprietary rights.
9 8 7 6 5 4 3 2 1
springer.com
Dedicated to
To my wife Janie, my children Kristi, Kristin and Krissie and my parents
T.S. and Sushila Visvanathan
– Raj Sharman
To Sujata, Anant, and Aseem for your love, support, inspiration, and
patience
– Rajiv Kishore
To the countless individuals who have helped, guided and shaped my life
and continue to do so
– Ram Ramesh
CONTENTS
Foreword xi
Foundations of ODIS
1. The Road Toward Ontologies 3
Diana Marcela Sánchez, José María Cavero and
Esperanza Marcos Martínez
2. Use of Ontologies for Organizational Knowledge Management
and Knowledge Management Systems 21
Vasudeva Varma
3. Ontological Evaluation of Business Models: Comparing
Traditional and Component-Based Paradigms in Information
Systems Re-Engineering 49
Raul Valverde and Mark Toleman
4. Using Ontologies in the Semantic Web: A Survey 79
Li Ding, Pranam Kolari, Zhongli Ding and Sasikanth Avancha
5. Positivism or Non-Positivism – Tertium Non Datur 115
Bernd Carsten Stahl
6. Ontology, Life-World, and Responsibility in IS 143
Bernd Carsten Stahl
Ontological Engineering
7. An Ontological Approach to Develop Knowledge Intensive
CBR Systems 173
Belén Díaz-Agudo and Pedro A. González-Calero
viii
8. MDA Standards for Ontology Development 215
Dragan Djurić, Dragan Gašević and Vladan Devedžić
9. Ontology Specification and Integration for Multimedia
Applications 265
Hiranmay Ghosh, Santanu Chaudhury, Karthik Kashyap
and Brindaduti Maiti
10. Ontology Revision 297
Seung Hwan Kang and Sim Kim Lau
11. Modeling and Reasoning About Changes in Ontology Time Series 319
Tomi Kauppinen and Eero Hyvönen
12. Machine Learning-Based Maintenance of Domain-Specific
Application Ontologies 339
Alexandros G. Valarakos, George Vouros and
Constantine Spyropoulos
13. MnM: Semi-Automatic Ontology Population from Text 373
Maria Vargas-Vera, Emanuela Moreale, Arthur Stutt,
Enrico Motta and Fabio Ciravegna
14. An Ontological Approach to Requirements Elicitation Technique
Selection 403
Ann M. Hickey and Alan M. Davis
ODIS Architectures
15. Use of Ontology for Automating Knowledge Intensive Business
Processes 435
Jyoti M. Bhat, Krishnakumar Pooloth, Manohar Moorthy,
Renuka Sindhgatta and Srinivas Thonse
16. Using Ontologies to Create Object Model for Object-Oriented
Software Engineering 461
Dencho N. Batanov and Waralak Vongdoiwang
17. An Ontology-Based Exploration of Knowledge Systems for
Metaphor 489
Chu-Ren Huang, Siaw-Fong Chung and Kathleen Ahrens
18. The Knowledge Collective Framework Makes Ontology
Based Information Accessible, Maintainable, and Reusable 519
Jay A. Yusko and Martha W. Evens
ix
19. Information Systems Aspects and the Ontology of Hypermedia
Systems 545
Miguel-Ángel Sicilia, Elena García-Barriocanal and
Salvador Sánchez-Alonso
20. Ontology-Enabled Database Management Systems 563
N.L. Sarda
21. Enhancing Interoperability and Web Services Standards
Through Ontological Analysis 585
Peter Green, Michael Rosemann and Marta Indulska
22. Context-Aware Ontology Selection Framework 607
Simone A. Ludwig and S.M.S. Reyhani
23. Ontology-Based User Modeling 635
Liana Razmerita
24. Ontology-Based User Profiles for Personalized Search 665
Susan Gauch, Mirco Speretta and Alexander Pretschner
ODIS Applications
25. Ontology-Driven Information System for Supply Chain
Management 697
Charu Chandra and Armen Tumanyan
26. Framework for Enhanced Interoperability 727
Ricardo Jardim-Goncalves, João P.M.A. Silva,
António A.C. Monteiro and Adolfo Steiger-Garção
27. Foundations for a Core Ontology of Manufacturing 751
Stefano Borgo and Paulo Leitão
28. Engineering a Development Platform for Ontology-Enhanced
Knowledge Applications 777
Gary H. Merrill
29. Inductive Design and Testing of a Performance Ontology for
Mobile Emergency Medical Services 823
Thomas Horan, Ugur Kaplancali, Richard Burkhard
and Benjamin Schooley
30. Development of an Ontology-Based Smart Card System
Reference Architecture 841
István Mezgár and Zoltán Kincses
x
31. Using Ontologies in Mobile Surveyor 865
Xin Zheng and Delbert Hart
32. The News Ontology for Professional Journalism Applications 887
Norberto Fernández-García, Luis Sánchez-Fernández,
José M. Blázquez-del-Toro and Jesús Villamor-Lugo
Index 923
Foreword
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.
Of late, however, there is a 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. This has led to
the notion of ontology-driven information systems (ODIS), a concept that,
although in preliminary stages of development, opens up new ways of