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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pengfei Qian Shensheng Zhang |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci. & Technol., Shanghai Jiaotong Univ. (Pengfei Qian; Shensheng Zhang) |
| Abstract | A kind of ontology mapping approach based on concept partial relation is introduced. In this approach, the traditional mapping relation among the different ontology concepts will be extended to compound relation, including `intersection', `equal', `disjunction', `subsumption', `be subsumed' relation. In this paper, 2 questions about ontology mapping approach based on concept partial relation should be answered, the first is how to automatically reason and compute the complex semantic partial relation among the ontologies, the second is how to use the semantic partial relation and the existing mapping results to instruct the following mapping, and then improve the mapping accuracy and efficient. To solve these 2 problems, concept partial mapping (CPM) and CPM-based ontology mapping approach are introduced respectively. Finally, the mapping accuracy and time complexity of CPM-based ontology mapping approach are introduced compared to traditional mapping approach |
| Starting Page | 4108 |
| Ending Page | 4112 |
| File Size | 152342 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424403324 |
| DOI | 10.1109/WCICA.2006.1713147 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ontologies Computer science Research and development Concrete Intelligent control Automation Distributed computing time complexity ontology mapping partial relation mapping accuracy |
| Content Type | Text |
| Resource Type | Article |
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