SITAC: Discovering semantically identical temporally altering concepts in text archives

Amal Kaluarachchi, Debjani Roychoudhury, Aparna S. Varde, Gerhard Weikum

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper demonstrates a system called SITAC based on our proposed approach to automate the discovery of concepts (called SITACs) in text sources that are identical semantically but alter their names over time. This system is developed to perform time-aware translation of queries over text corpora by incorporating terminology evolution, thus providing more accurate responses to users, e.g., query processing on Mumbai should automatically take into account its former name Bombay. The SITAC system constitutes a novel collaborative framework of natural language processing, association rule mining and contextual similarity.

Original languageEnglish
Title of host publicationAdvances in Database Technology - EDBT 2011
Subtitle of host publication14th International Conference on Extending Database Technology, Proceedings
Pages566-569
Number of pages4
DOIs
StatePublished - 18 Apr 2011
Event14th International Conference on Extending Database Technology: Advances in Database Technology, EDBT 2011 - Uppsala, Sweden
Duration: 22 Mar 201124 Mar 2011

Publication series

NameACM International Conference Proceeding Series

Other

Other14th International Conference on Extending Database Technology: Advances in Database Technology, EDBT 2011
CountrySweden
CityUppsala
Period22/03/1124/03/11

Keywords

  • Association rules
  • Information retrieval
  • Query processing
  • Ranking
  • Temporal changes
  • Text mining
  • Web search

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