Fuzzy Knowledge Representation Based on Fuzzy Linguistic Variable Ontology and SWRL on the Semantic Web

Abstract:

Ontology is adopted as a standard for knowledge representation on the Semantic Web, and Ontology Web Language (OWL) is used to add structure and meaning to web applications. In order to share and resue the fuzzy knowledge on the Semantic Web, we propose the fuzzy linguistic variables ontology (FLVO), which utilizes ontology to represent formally the fuzzy linguistic variables and defines the semantic relationships between fuzzy concepts. Then fuzzy rules are described in Semantic Web Rule Language (SWRL) on the basis of FLVO model. Taking a sample case for students’ performance in physics for example, the fuzzy rule management system is built by using the tool protégé and SWRLTab, which shows that this research enables distributed fuzzy applications on the Semantic Web.

• Periodical: Applied Mechanics and Materials (Volumes 58-60)
• Pages: 1707-1711
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.58-60.1707
• Online since: June 2011
• Authors: Yan Ling Li, Yi Duo Liang, Jun Zhai
• Keywords: Fuzzy Knowledge, Fuzzy Linguistic Ontology, Semantic Web, Semantic Web Rule Language (SWRL)

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