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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Song Ling Ma Jun Lian Li Chen Zhumin |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan (Song Ling; Ma Jun; Lian Li; Chen Zhumin) |
| Abstract | Semantic similarity between concepts supported by the use of ontology plays a prominent role in the concept of the semantic level to provide semantic information for Web services discovery and composition. In this work we consider ontology as knowledge structure that specifies concepts and their semantic relations. And we propose a fuzzy similarity measure for not only atomic concepts with inclusion relation but also complex concepts with semantic relation. This fuzzy similarity measure has property of weak fuzzy similarity relation, which conquers existing limitations of equivalence relation. Furthermore, this fuzzy similarity measure based on shared information content could reflect latent semantic relation of concepts better than ever |
| Sponsorship | IEEE Comput. Soc. South China Univ. of Technol |
| Starting Page | 3 |
| Ending Page | 10 |
| File Size | 331523 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769527515 |
| DOI | 10.1109/APSCC.2006.58 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Atomic measurements Computer science Fuzzy sets Vocabulary Web services Taxonomy Ontologies Information retrieval |
| Content Type | Text |
| Resource Type | Article |
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