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Ontology-based interpretation of keywords for semantic search

Published: 11 November 2007 Publication History

Abstract

Current information retrieval (IR) approaches do not formally capture the explicit meaning of a keyword query but provide a comfortable way for the user to specify information needs on the basis of keywords. Ontology-based approaches allow for sophisticated semantic search but impose a query syntax more difficult to handle. In this paper, we present an approach for translating keyword queries to DL conjunctive queries using background knowledge available in ontologies. We present an implementation which shows that this interpretation of keywords can then be used for both exploration of asserted knowledge and for a semantics-based declarative query answering process. We also present an evaluation of our system and a discussion of the limitations of the approach with respect to our underlying assumptions which directly points to issues for future work.

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Published In

cover image Guide Proceedings
ISWC'07/ASWC'07: Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
November 2007
973 pages
ISBN:3540762973

Sponsors

  • KAIST: Korea Advanced Institute of Science and Technology
  • Google Inc.
  • Saltlux Inc.
  • u-MTec Co.
  • VULCAN Inc.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 11 November 2007

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View all
  • (2021)Semantics-based key concepts identification for documents indexing and retrieval on the webInternational Journal of Innovative Computing and Applications10.1504/ijica.2021.11360812:1(1-12)Online publication date: 1-Jan-2021
  • (2018)Never-Ending Learning for Open-Domain Question Answering over Knowledge BasesProceedings of the 2018 World Wide Web Conference10.1145/3178876.3186004(1053-1062)Online publication date: 10-Apr-2018
  • (2017)KBQAProceedings of the International Conference on Electronic Commerce10.1145/3154943.3154955(1-8)Online publication date: 17-Aug-2017
  • (2017)A depressive mood status quantitative reasoning method based on portable EEG and self-rating scaleProceedings of the International Conference on Web Intelligence10.1145/3106426.3106471(389-395)Online publication date: 23-Aug-2017
  • (2017)Automated Template Generation for Question Answering over Knowledge GraphsProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052583(1191-1200)Online publication date: 3-Apr-2017
  • (2017)Semantic aware processing of user defined inference rules to manage home networksJournal of Network and Computer Applications10.1016/j.jnca.2016.11.02079:C(68-87)Online publication date: 1-Feb-2017
  • (2017)The use of a graph-based system to improve bibliographic information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2367768:2(480-490)Online publication date: 1-Feb-2017
  • (2015)Querying RDF data with text annotated graphsProceedings of the 27th International Conference on Scientific and Statistical Database Management10.1145/2791347.2791381(1-12)Online publication date: 29-Jun-2015
  • (2015)Ontology-assisted keyword search for NeuroML modelsProceedings of the 27th International Conference on Scientific and Statistical Database Management10.1145/2791347.2791360(1-6)Online publication date: 29-Jun-2015
  • (2014)BiperpediaProceedings of the VLDB Endowment10.14778/2732286.27322887:7(505-516)Online publication date: 1-Mar-2014
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