QUEST: Query Expansion Using Synonyms over Time

  • Nattiya Kanhabua
  • Kjetil Nørvåg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6323)


A particular problem of searching news archives with named entities is that they are very dynamic in appearance compared to other vocabulary terms, and synonym relationships between terms change with time. In previous work, we proposed an approach to extracting time-based synonyms of named entities from the whole history of Wikipedia. In this paper, we present QUEST (Query Expansion using Synonyms over Time), a system that exploits time-based synonyms in searching news archives. The system takes as input a named entity query, and automatically determines time-based synonyms for a given query wrt. time criteria. Query expansion using the determined synonyms can be employed in order to improve the retrieval effectiveness.


Query Expansion Query Keyword Retrieval Effectiveness Anchor Text Vocabulary Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Nattiya Kanhabua
    • 1
  • Kjetil Nørvåg
    • 1
  1. 1.Dept. of Computer ScienceNorwegian University of Science and TechnologyTrondheimNorway

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