Collective evolutionary concept distance based query expansion for effective web document retrieval

Clement H C LEUNG, Yuanxi Li, Alfredo Milani, Valentina Franzoni

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

34 Citations (Scopus)

Abstract

In this work several semantic approaches to concept-based query expansion and re-ranking schemes are studied and compared with different ontology-based expansion methods in web document search and retrieval. In particular, we focus on concept-based query expansion schemes where, in order to effectively increase the precision of web document retrieval and to decrease the users' browsing time, the main goal is to quickly provide users with the most suitable query expansion. Two key tasks for query expansion in web document retrieval are to find the expansion candidates, as the closest concepts in web document domain, and to rank the expanded queries properly. The approach we propose aims at improving the expansion phase for better web document retrieval and precision. The basic idea is to measure the distance between candidate concepts using the PMING distance, a collaborative semantic proximity measure, i.e. a measure which can be computed using statistical results from a web search engine. Experiments show that the proposed technique can provide users with more satisfying expansion results and improve the quality of web document retrieval.

Original languageEnglish
Title of host publicationComputational Science and Its Applications, ICCSA 2013 - 13th International Conference, Proceedings
PublisherSpringer Verlag
Pages657-672
Number of pages16
EditionPART 4
ISBN (Print)9783642396489
DOIs
Publication statusPublished - 2013
Event13th International Conference on Computational Science and Its Applications, ICCSA 2013 - Ho Chi Minh City, Viet Nam
Duration: 24 Jun 201327 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume7974 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Computational Science and Its Applications, ICCSA 2013
Country/TerritoryViet Nam
CityHo Chi Minh City
Period24/06/1327/06/13

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Concept distance
  • PMING distance
  • Precision and recall
  • Query expansion
  • Semantic similarity measures
  • Web document retrieval

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