A Generic Implementation Framework for Measuring Ontology-Based Information
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 r...
| Published in: | International Journal of Computational Intelligence Systems |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2014-01-01
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| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868457.pdf |
| Summary: | 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. |
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| ISSN: | 1875-6883 |