Affiliation:
1. Xi’an University of Posts and Telecommunications
Abstract
Matchmaking is the basis of doing service discovery and composition. Using ontology semantically express the service of capabilities, correctly match service. Domain ontology and Formal Concept Analysis aim at modeling concept. The role of FCA in ontology engineering is supporting reusing independently developed domain ontology. Evaluating concept similarity identifies the different concepts that are semantically close. In this paper, using concept and attribute of web services to construct the ontology. Also, an ontology based method for assessing similarity between FCA concepts is proposed.
Publisher
Trans Tech Publications, Ltd.
Reference17 articles.
1. X. Hong, L. Zeng-zhi, and C. Yan-ping. Research of semantic web service matching based on concept lattice. Journal of Beijing University of Posts and Telecommunications, 2006, p.185–188.
2. M. Bain, Inductive construction of ontologies from Formal Concept Analysis, Australian Conference on Artificial Intelligence, 2003, pp.88-99.
3. B. Chandrasekaran, J. Josephson, and V. Benjamins. What are ontologies and why do we need them? IEEE Intelligent Systems, 1999, p.20–26.
4. T. Gruber. A translation approach to portable ontology specification. Knowledge Acquisition, 1993, p.199–220.
5. G. Pierra, The PLIB ontology-based approach to data integration, IFIP Congress Topical Sessions, 2004, pp.13-18.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Learning Ontologies with Relational Concept Analysis;2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI);2022-03-02
2. FCA based ontology development for data integration;Information Processing & Management;2016-09