Measuring semantic similarity between resource spaces

  • Zhixing H
  • Yuhui Q
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A Web Resource Space Model (RSM) is a semantic data model for specifying, storing, managing and locating Web resources by appropriately classifying the contents of resources. For the task of detecting and retrieving relevant RSMs, one needs means for measuring the similarity between RSMs on a canonical scale. This paper proposes a general framework to automatically measure the similarity between RSMs, we break down the overall task and analyze the similarity between resource space models from three different levels, i.e. {coordinate, axis and resource space}.A variety of strategies and measurements that capture those differences are presented. Moreover, we theoretically analyzed the variation of similarities about Join, Disjoin, Merge and Split operations on RSMs. The empirical results of our method on Ontology Alignment Evaluation Initiative (OAEI) benchmark data set are also present in this paper.

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  • Huang Zhixing

  • Qiu Yuhui

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