Title :
Ontology Mapping Approach Based on Concept Partial Relation
Author :
Qian, Pengfei ; Zhang, Shensheng
Author_Institution :
Dept. of Comput. Sci. & Technol., Shanghai Jiaotong Univ.
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
Keywords :
computational complexity; inference mechanisms; ontologies (artificial intelligence); programming language semantics; compound relation; concept partial relation; mapping accuracy; mapping relation; ontology concepts; ontology mapping; semantic partial relation; time complexity; Automation; Computer science; Concrete; Distributed computing; Intelligent control; Ontologies; Research and development; mapping accuracy; ontology mapping; partial relation; time complexity;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713147