1. A Generic Implementation Framework for Measuring Ontology-Based Information
- Author
-
Ke Lu, Yinglong Ma, Xiaolan Zhang, and Beihong Jin
- Subjects
Information retrieval ,General Computer Science ,Computer science ,Ontology ,Ontology-based data integration ,Process ontology ,Suggested Upper Merged Ontology ,QA75.5-76.95 ,Ontology (information science) ,computer.software_genre ,Ontology engineering ,lcsh:QA75.5-76.95 ,ontology engineering ,Open Biomedical Ontologies ,Computational Mathematics ,Ontology chart ,Electronic computers. Computer science ,Ontology measurement ,Upper ontology ,Ontology semantics ,lcsh:Electronic computers. Computer science ,computer - Abstract
As a knowledge representation tool, ontologies have been widely applied in many fields such as knowledge management and information integration, etc. Ontology measurement is an important challenge in the field of knowledge management in order to manage the development of ontology based systems and reduce the risk of project failure. This paper proposes a generic implementation framework for stable semantic ontology measurement. Through this framework, an ontology will be measured according to its semantic enriched representation model (SERM). The SERM model of an ontology can be used for stably measuring the semantics of the ontology. Then ontology metrics are integrated into the framework to measure candidate ontologies according to its SERM model. The related experiments are made to show that the framework can effectively measure the semantics of ontologies.
- Published
- 1970