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논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국데이터전략학회 Journal of Information Technology Applications & Management 정보기술과 데이타베이스 저널 제12권 제3호
발행연도
2005.9
수록면
27 - 39 (13page)

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The Semantic Web has increased the interest in ontologies recently. Ontology is an essential component of the semantic web and continues to change and evolve. We consider versions management schemes in ontology. We study a set of changes based on domain changes, changes in conceptualization, metadata changes, and temporal dimension. Our change specification is represented by a set of changes. A set of changes consists of instance data change, structural change, and identifier change. In order to support a query in ontology versions, we consider temporal dimension includes valid time. Ontology versioning brings about massive amount of versions to be stored and maintained. We present the ontology versions management schemes that are 1) storing all the change sets, 2) storing the aggregation of change sets periodically, and 3) storing the aggregation of change sets using an adaptive criterion. We conduct a set of experiments to compare the performance of each versions management schemes. We present the experimental results for evaluating the performance of the three version management schemes from scheme 1 to scheme 3. Scheme 1 has the least storage usage. The average response time in Scheme 1 is extremely large, those of Scheme 3 is smaller than Scheme 2. Scheme 3 shows a good performance relatively.

목차

Abstract

1. Introduction

2. Causes of ontology change

3. Change sets

4. Versions Management Schemes

5. Experiments and Analysis

6. Conclusions

References

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UCI(KEPA) : I410-ECN-0101-2009-005-015293196