Earticle

초록

영어

Ontology matching is one of the most important challenges in the semantic web. It is a technique which is used to find the semantic correspondences between entities which are modeled in different ontologies. Despite many research efforts in ontology matching, the matching process still suffers from severe problems with respect to the quality of the matching results. Furthermore, finding the correspondences, for the most part, is very time-consuming. In this paper, we examine how a pre-processing phase can improve the results of the matching process. A pre-processing phase is added to the matchers for the analysis of input ontologies so as to detect some inappropriate patterns which are modeled by various developers. Then, refactoring operations are utilized on detected patterns for achieving assimilated ontologies. Finally, our proposed approach is tested by ASMOV (Automated Semantic Matching of Ontologies with Verification), which is one of the top matchers in OAEI (Ontology Alignment Evaluation Initiative). Experimental results show that ontologies achieved from this proposed approach are more efficient than the original unrepaired ones, with respect to standard evaluation measures.

목차

Abstract
 1. Introduction
 2. Definition of Basic Concept
  2.1. Ontology
  2.2. Matching process
  2.3. Correspondence
  2.4. Alignment
  2.5. Refactoring
 3. Related Works
 4. Problem Definition
 5. Overview of Our Approach
  5.1. Pattern Detection Phase
  5.2. Refactoring Phase
 6. Experimental Results
  6.1. Implementation
  6.2. Data sets
  6.3. Match Quality Measures
  6.4. Comparing Results using Original Ontologies and Repaired Ones
 7. Conclusions and Future Work
 Acknowledgment
 References

키워드

저자

• Bahareh Behkamal [ Department of Software Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran ] Correspondent Author
• Mahmoud Naghibzadeh [ Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran ]
• Reza Askari Moghadam [ Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605