Paper Title:
Constructing Domain Ontology Based on Fuzzy Set and Concept Lattice
| Periodical | Applied Mechanics and Materials (Volumes 63 - 64) |
|---|---|
| Main Theme | Advanced Research on Mechanical Engineering, Industry and Manufacturing Engineering |
| Edited by | Helen Zhang and David Jin |
| Pages | 715-718 |
| DOI | 10.4028/www.scientific.net/AMM.63-64.715 |
| Citation | Ting Zhong Wang et al., 2011, Applied Mechanics and Materials, 63-64, 715 |
| Online since | June, 2011 |
| Authors | Ting Zhong Wang, Hong Sheng Xu |
| Keywords | Concept Lattice, Domain Ontology, Formal Concept Analysis, Fuzzy Set |
| Price | US$ 28,- |
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Abstract
The major content in FCA is to extract formal concepts and connections between them from data in form of formal context so as to form a lattice structure of formal concepts. Fuzzy set theory and fuzzy logic are acknowledged as an appropriate formalism for capturing imprecise and vague knowledge. The paper offers a methodology for building ontology for knowledge sharing and reusing based on fuzzy concept lattices union. This paper makes up these defects by applying formal concept analysis theory and fuzzy sets to construct concept hierarchies of ontology, and the experiments shows the CPU Time in the attribute numbers, indicating that FFCA is superior to FCA in building the ontology of semantic web.
