• Title/Summary/Keyword: Taxonomy of merge conflicts

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Automatic Merging of Distributed Topic Maps based on T-MERGE Operator (T-MERGE 연산자에 기반한 분산 토픽맵의 자동 통합)

  • Kim Jung-Min;Shin Hyo-Pil;Kim Hyoung-Joo
    • Journal of KIISE:Software and Applications
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    • v.33 no.9
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    • pp.787-801
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    • 2006
  • Ontology merging describes the process of integrating two ontologies into a new ontology. How this is done best is a subject of ongoing research in the Semantic Web, Data Integration, Knowledge Management System, and other ontology-related application systems. Earlier research on ontology merging, however, has studied for developing effective ontology matching approaches but missed analyzing and solving methods of problems of merging two ontologies given correspondences between them. In this paper, we propose a specific ontology merging process and a generic operator, T-MERGE, for integrating two source ontologies into a new ontology. Also, we define a taxonomy of merging conflicts which is derived from differing representations between input ontologies and a method for detecting and resolving them. Our T-MERGE operator encapsulates the process of detection and resolution of conflicts and merging two entities based on given correspondences between them. We define a data structure, MergeLog, for logging the execution of T-MERGE operator. MergeLog is used to inform detailed results of execution of merging to users or recover errors. For our experiments, we used oriental philosophy ontologies, western philosophy ontologies, Yahoo western philosophy dictionary, and Naver philosophy dictionary as input ontologies. Our experiments show that the automatic merging module compared with manual merging by a expert has advantages in terms of time and effort.

Conflict Detection and Resolution Method for Merging of Ontologies based on Decision Support Tree (온톨로지 병합을 위한 의사지원트리 기반 충돌 탐지 및 해결 기법)

  • Jeong, Hyeon-Suk;Kim, Jeong-Min;Lee, Seong-Ju
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.04a
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    • pp.147-150
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    • 2007
  • 본 논문에서는 토픽맵 기반의 온톨로지 병합 과정에서 발생할 수 있는 충돌의 유형을 트리 구조로 정의하고 충돌 탐지 및 해결을 통하여 두 온톨로지를 하나로 병합하는 기법을 제안한다. 병합충돌은 의미적 대응 요소들의 유사값에 기반하여 엘리먼트기반, 구조기반 임시기반의 트리 구조로 분류되고 이 충돌 트리를 이용하여 두 매핑 요소사이의 병합충돌을 탐지하고 해결한다. 실험을 위해 토픽맵 질의언어 tolog를 사용하여 동서양 철학온톨로지 및 독일 문학온톨로지들의 병합 전과 후의 질의 결과를 비교하고 이를 정확율과 재현율로 병합 성능을 평가하였으며 그 결과 손실없는 병합이 가능함을 보였다.

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