Semantic based Information Retrieval System by using WSD and DICE Coefficient

Authors

  • Thwe  Faculty of Computer Science, University of Computer Studies (Taunggyi), Myanmar
  • Thi Thi Tun  Faculty of Computer Science, University of Computer Studies (Myitkyina), Myanmar
  • Ohnmar Aung  Faculty of Computing, University of Computer Studies (Taunggyi), Myanmar

DOI:

https://doi.org/10.32628/IJSRSET207259

Keywords:

Semantic, WSD, Information Retrieval, Dice.

Abstract

In many NLP applications such as machine translation, content analysis and information retrieval, word sense disambiguation (WSD) is an important technique. In the information retrieval (IR) system, ambiguous words are damaging effect on the precision of this system. In this situation, WSD process is useful for automatically identifying the correct meaning of an ambiguous word. Therefore, this system proposes the word sense disambiguation algorithm to increase the precision of the IR system. This system provides additional semantics as conceptually related words with the help of glosses to each keyword in the query by disambiguating their meanings. This system uses the WordNet as the lexical resource that encodes concepts of each term. In this system, various senses that are provided by WSD algorithm have been used as semantics for indexing the documents to improve performance of IR system. By using keyword and sense, this system retrieves the relevant information according to the Dice similarity method.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-04-30

Issue

Volume 7, Issue 2, March-April-2020

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Thwe, Thi Thi Tun, Ohnmar Aung "Semantic based Information Retrieval System by using WSD and DICE Coefficient" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 2, pp.274-279, March-April-2020. Available at doi : https://doi.org/10.32628/IJSRSET207259