The Semantic Retrieval Model of Manufacturing Resource Based on Rules and Similarity

Abstract:

Based on the common similarity algorithm between ontology concepts, this paper makes use of semantic weighted distance and introduces such factors as node density, concept attribute and concept information content, and presents an improved semantic similarity algorithm to make the measuring semantic similarity more accurate. Combined the similarity algorithm with SWRL, this paper establishes a semantic retrieval model of manufacturing resource based on rules and similarity , which applies the rules of SWRL to carry on conditional matching in the ontology concepts of manufacturing resource in order to retrieve more eligible results.

• Periodical: Applied Mechanics and Materials (Volumes 130-134)
• Pages: 483-486
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.130-134.483
• Online since: October 2011
• Authors: Jun Ying Wei, Pei Si Zhong
• Keywords: Manufacturing Resource (MR), Ontology, Semantic Retrieval Model, Semantic Similarity, Semantic Web Rule Language (SWRL)

References

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DOI: 10.1613/jair.514

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