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.

Foundations of ODIS.- The Road Toward Ontologies.- Use of Ontologies for Organizational Knowledge Management and Knowledge Management Systems.- Ontological Evaluation of Business Models: Comparing Traditional and Component-Based Paradigms in Information Systems Re-Engineering.- Using Ontologies in the Semantic Web: A Survey.- Positivism or Non-Positivism — Tertium Non Datur.- Ontology, Life-World, and Responsibility in IS.- Ontological Engineering.- An Ontological Approach to Develop Knowledge Intensive CBR Systems.- MDA Standards for Ontology Development.- Ontology Specification and Integration for Multimedia Applications.- Ontology Revision.- Modeling and Reasoning About Changes in Ontology Time Series.- Machine Learning-Based Maintenance of Domain-Specific Application Ontologies.- MnM: Semi-Automatic Ontology Population from Text.- An Ontological Approach to Requirements Elicitation Technique Selection.- ODIS Architectures.- Use of Ontology for Automating Knowledge Intensive Business Processes.- Using Ontologies to Create Object Model for Object-Oriented Software Engineering.- An Ontology-Based Exploration of Knowledge Systems for Metaphor.- The Knowledge Collective Framework Makes Ontology Based Information Accessible, Maintainable, and Reusable.- Information Systems Aspects and the Ontology of Hypermedia Systems.- Ontology-Enabled Database Management Systems.- Enhancing Interoperability and Web Services Standards Through Ontological Analysis.- Context-Aware Ontology Selection Framework.- Ontology-Based User Modeling.- Ontology-Based User Profiles for Personalized Search.- ODIS Applications.- Ontology-Driven Information System for Supply Chain Management.- Framework for Enhanced Interoperability.- Foundations for a Core Ontology of Manufacturing.- Engineering aDevelopment Platform for Ontology-Enhanced Knowledge Applications.- Inductive Design and Testing of a Performance Ontology for Mobile Emergency Medical Services.- Development of an Ontology-Based Smart Card System Reference Architecture.- Using Ontologies in Mobile Surveyor.- The News Ontology for Professional Journalism Applications.