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Managing very large document collections using semantics

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Abstract

In this paper, a system is presented where documents are no longer identified by their file names. Instead, a document is represented by its semantics in terms ofdescriptor andcontent vector. Thedescriptor of a document consists of a set of attributes, such as date of creation, its type, its size, annotations, etc. Thecontent vector of a document consists of a set of terms extracted from the document. In this paper, a semantic document management system XBASE is designed and implemented based on the semantics and the functions of three main modules, X-Loader, X-Explorer and X-Query.

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References

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Authors and Affiliations

  1. Department of Computer Science, Northeastern University, 110004, Shenyang, P.R. China

    GuoRen Wang, Ge Yu & Bin YuBao

  2. Department of Computer Science, Hong Kong University of Science and Technology, P.R. China

    HongJun Lu

Authors
  1. GuoRen Wang
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  2. HongJun Lu
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  3. Ge Yu
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  4. Bin YuBao
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Corresponding author

Correspondence to GuoRen Wang.

Additional information

This work is supported by the Teaching and Research Award Programme for Outstanding Young Teachers in Higher Education Institutions by the Ministry of Education, China (TRAPOYT), and the National Natural Science Foundation of China (Grant Nos.60173051 and 60273079).

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Wang, G., Lu, H., Yu, G. et al. Managing very large document collections using semantics. J. Comput. Sci. & Technol. 18, 403–406 (2003). https://doi.org/10.1007/BF02948912

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  • DOI: https://doi.org/10.1007/BF02948912

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