HStar – A Semantic Repository for Large Scale OWL Documents

  • Yan Chen
  • Jianbo Ou
  • Yu Jiang
  • Xiaofeng Meng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)

Abstract

HStar is implemented to support large scale OWL documents management. Physical storage model is designed on file system based on semantic model of OWL data. Inference and query are implemented on such physical storage model. Now HStar supports characters of OWL Lite and we try to adopt strategy of partial materializing inference data, which is different from most of existing semantic repository systems. In this paper we first give the data model which HStar supports, then give an analysis of our inference strategy; storage model and query process are discussed in detail; experiments for comparing HStar and related systems are given at last.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yan Chen
    • 1
  • Jianbo Ou
    • 1
  • Yu Jiang
    • 1
  • Xiaofeng Meng
    • 1
  1. 1.School of InformationRenmin Univ. of ChinaChina

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