Skip to main content

EntEXPO: An Interactive Search System for Entity-Bearing Queries

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8416))

Abstract

The paper presents EntEXPO, a search system that aims to improve the search experience for entity-bearing queries. In particular, the system exploits the entities and their relations in the context of query to identify a list of related entities and leverage them in an entity-centric query expansion method to generate more effective search results. Moreover, EntEXPO displays the related entities along with the search results to allow search users explore entity relationship to further refine the query through an interactive interface.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pound, J., Mika, P., Zaragoza, H.: Ad-hoc Object Retrieval in the Web of Data. In: WWW, pp. 771–780 (2010)

    Google Scholar 

  2. Liu, X., Fang, H., Chen, F., Wang, M.: Entity Centric Query Expansion for Enterprise Search. In: CIKM, pp. 1955–1959 (2012)

    Google Scholar 

  3. Liu, X., Chen, F., Fang, H., Wang, M.: Exploiting Entity Relationship for Query Expansion in Enterprise Search. Information Retrieval (2013) (in press)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Liu, X., Yang, P., Fang, H. (2014). EntEXPO: An Interactive Search System for Entity-Bearing Queries. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_96

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06028-6_96

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06027-9

  • Online ISBN: 978-3-319-06028-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics