Evaluating evidences for keyword query disambiguation in entity centric database search

  • Elena Demidova*
  • , Xuan Zhou
  • , Irina Oelze
  • , Wolfgang Nejdl
  • *Corresponding author for this work

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

6 Scopus citations

Abstract

A number of existing approaches attempt to reduce ambiguity of user's keyword queries by translating them to structured database queries. This disambiguation process relies on a proper assessment of whether a structured query represents the intent behind the keyword query. In this paper we systematically analyze a number of intuitive statistical measures that can potentially be used in this disambiguation process. We evaluate the impact of these measures through experiments on real-world data.

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 21st International Conference, DEXA 2010, Proceedings
Pages240-247
Number of pages8
EditionPART 2
DOIs
StatePublished - 2010
Externally publishedYes
Event21st International Conference on Database and Expert Systems Applications, DEXA 2010 - Bilbao, Spain
Duration: 30 Aug 20103 Sep 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6262 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Database and Expert Systems Applications, DEXA 2010
Country/TerritorySpain
CityBilbao
Period30/08/103/09/10

Keywords

  • entity search
  • keyword query disambiguation
  • statistical analysis

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