Ontology Mapping Approach Based on Concept Partial Relation

Author

Qian, Pengfei ; Zhang, Shensheng

Author_Institution

Dept. of Comput. Sci. & Technol., Shanghai Jiaotong Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4108

Lastpage

4112

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713147

Filename

1713147