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Semantic query reformulation: the NIF experience

Published: 29 July 2013 Publication History
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  • Abstract

    The NIF system is a semantic search engine that uses an ontology to improve search quality. In this experience paper we present SKEYQL, our semantic keyword query language and describe a number of ontology-based query reformulation strategies that go beyond standard query expansion techniques. We also present a set of lessons learnt and strategies that did not work. We reaffirm the importance of pre-annotating data to ensure quality query results.

    References

    [1]
    J. Bhogal, A. Macfarlane, and P. Smith. A review of ontology based query expansion. Inf. Process. Manage., 43(4):866--886, July 2007.
    [2]
    M. C. Díaz-Galiano, M. T. Martín-Valdivia, and L. A. U. López. Query expansion with a medical ontology to improve a multimodal information retrieval system. Comp. in Bio. and Med., 39(4):396--403, 2009.
    [3]
    L. Dong, P. K. Srimani, and J. Z. Wang. Ontology graph based query expansion for biomedical information retrieval. In Proc. of IEEE Int. Conf. on Bioinformatics and Biomedicine(BIBM), pages 488--493, 2011.
    [4]
    L. Gravano, H. Garcia-Molina, and A. Tomasic. Gloss: Text-source discovery over the internet. ACM Trans. Database Syst., 24(2):229--264, 1999.
    [5]
    A. Gupta, B. Ludäscher, and M. E. Martone. BIRN-M: a semantic mediator for solving real-world neuroscience problems. In Proc. 2003 ACM SIGMOD Int. Conf. on Management of Data, pages 678--678, New York, NY, USA, 2003. ACM Press.
    [6]
    A. Herdagdelen, M. Ciaramita, D. Mahler, M. Holmqvist, K. Hall, S. Riezler, and E. Alfonseca. Generalized syntactic and semantic models of query reformulation. In Proc. of the 33rd Int. ACM SIGIR Conf. on Information Retrieval, pages 283--290, 2010.
    [7]
    G. Li, S. Ji, C. Li, J. Wang, and J. Feng. Efficient fuzzy type-ahead search in TASTIER. In Proc. of the 26th Int. Conf. on Data Engineering (ICDE), pages 1105--1108, 2010.
    [8]
    R. Navigli and P. Velardi. An analysis of ontology-based query expansion strategies. In Proc. of Workshop on Adaptive Text Extraction and Mining, pages 42--49, 2003.
    [9]
    J. Wu, I. Ilyas, and G. Weddell. A study of ontology-based query expansion. Technical Report CS-2011-04, Department of Computer Science, University of Waterloo, 2011.

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    1. Semantic query reformulation: the NIF experience

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      cover image ACM Other conferences
      SSDBM '13: Proceedings of the 25th International Conference on Scientific and Statistical Database Management
      July 2013
      401 pages
      ISBN:9781450319218
      DOI:10.1145/2484838
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 29 July 2013

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