Characterizing Quality of Knowledge on Semantic Web

The Semantic Web is intended for knowledge sharing among agents as well as humans. To achieve this goal, Ontologies, which express knowledge in a certain vitality as well as in a machine interpretable form, were introduced. The growing demand for facilitating deployment and reuse of Ontologies has increased the need to develop adequate criteria to measure the quality of Ontologies conceptualizing a domain. Our research is motivated by the urgent needs of rigorous mechanisms which analyze ontological features from diverse perspectives and determine their quality levels. This paper presents the methodology representing qualitative and quantitative analysis of Ontologies and their classification. The Ontological tools, which were implemented based on the methodology, are proposed to provide multiple interfaces to humans and agents, thus supporting Ontology Engineering process. The proposed framework has gone through a great deal of testing and evaluation processes in the context of a rea...

• Type: Conference
• Year: 2004
• Where: FLAIRS
• Authors: Kaustubh Supekar, Chintan Patel, Yugyung Lee
• Keywords: Artificial Intelligence, FLAIRS 2004, Machine Interpretable Form, Ontologies, Ontology Engineering Process