Exploring context-sensitive Query Reformulation in a biomedical digital library

Erin Hea Jin Kim, Jung Sun Oh, Min Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a novel semantic query expansion technique that enables inference of contextual information in queries and user information. In the present study, we detect and map bio entities such as gene, protein, and disease in a query to concept tuples, and incorporate user context data based on the PubMed query logs and user profile into the algorithm. In objective evaluation, we can see a concept tuple aided with UMLS concepts adds semantic information to the initial query. In subjective evaluation, we find that in a context enabled search environment, where context terms that the users are interested in are combined into their initial search terms, users tend to assign higher relevance scores to the retrieval results by these queries.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationProviding Quality Information - 17th International Conference on Asia-Pacific Digital Libraries, ICADL 2015, Proceedings
EditorsRobert B. Allen, Jane Hunter, Marcia L. Zeng
PublisherSpringer Verlag
Pages94-106
Number of pages13
ISBN (Print)9783319279732
DOIs
Publication statusPublished - 2015 Jan 1
Event17th International Conference on Digital Libraries: Providing Quality Information, ICADL 2015 - Seoul, Korea, Republic of
Duration: 2015 Dec 92015 Dec 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9469
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Digital Libraries: Providing Quality Information, ICADL 2015
CountryKorea, Republic of
CitySeoul
Period15/12/915/12/12

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, E. H. J., Oh, J. S., & Song, M. (2015). Exploring context-sensitive Query Reformulation in a biomedical digital library. In R. B. Allen, J. Hunter, & M. L. Zeng (Eds.), Digital Libraries: Providing Quality Information - 17th International Conference on Asia-Pacific Digital Libraries, ICADL 2015, Proceedings (pp. 94-106). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9469). Springer Verlag. https://doi.org/10.1007/978-3-319-27974-9_10