Ontology for Information Systems (04IS) Design Methodology : Conceptualizing, Designing and Representing Domain Ontologies

• Main Author: Kabilan, Vandana
• Format: Doctoral Thesis
• Language: English
• Published: KTH, Data- och systemvetenskap, DSV 2007
• Subjects: Information science; computer science; Computer and systems science; Data- och systemvetenskap
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4513; http://nbn-resolving.de/urn:isbn:978-91-7178-752-1

Globalization has opened new frontiers for business enterprises and human communication. There is an information explosion that necessitates huge amounts of information to be speedily processed and acted upon. Information Systems aim to facilitate human decision-making by retrieving context-sensitive information, making implicit knowledge explicit and to reuse the knowledge that has already been discovered. A possible answer to meet these goals is the use of Ontology. Ontology has been studied for a long time in the fields of AI, Logic and Linguistics. Current state-of-the art research in Information Systems has focused on the use of ontologies. However, there remain many obstacles for the practical and commercial use of ontologies for Information Systems. One such obstacle is that current Information System designers lack the know-how to successfully design an ontology. Current ontology design methodologies are difficult to use by Information Systems designers having little theoretical knowledge of ontology modeling. Another issue is that business enterprises mostly function in the social domain where there are complex underlying semantics and pragmatics involved. This research tries to solve some of these issues by proposing the Ontology for Information Systems (O4IS) Design Methodology for the design of ontologies for Information Systems. The research also proposes a Unified Semantic Procedural Pragmatic Design for explicit conceptualization of the semantics and pragmatics of a domain. We further propose a set of Semantic Analysis Representations as conceptual analysis patterns for semantic relationship identification. We also put forward the Dual Conceptual Representation so that the designed ontology is understandable by both humans and machines. Finally, a logical architecture for domain ontology design called the Multi-Tier Domain Ontology Architecture is proposed. We follow the design science in Information Systems research methodology. The proposed solutions are demonstrated through two case studies carried out in different domains. The first case study is that of business contract knowledge management, which focuses on the analysis of contractual obligations, their fulfillment via the performance of business actions, and the deduction of a contract compliant workflow model. The second case study relates to military operations simulations and modeling. The emphasis in this case study is to analyze, model and represent the domain knowledge as a re-usable resource to be used in a number of modeling and simulation applications. === QC 20100803