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European Conference on Information Retrieval

ECIR 2015: Advances in Information Retrieval pp 358–369Cite as

Exploiting Semantic Annotations for Domain-Specific Entity Search

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9022))

Abstract

Searches on the Web of Data go beyond the retrieval of textual Web sites, and shifts the focus of search engines towards domain-specific entity data, for which the units of retrieval are domain-specific entities instead of textual documents. We study the effect of using semantic annotation in combination with a knowledge graph for domain-specific entity search. Different reasoning, indexing and query-expansion strategies are compared to study their effect in improving the effectiveness of entity search. The results show that the use of semantic annotation and background knowledge can significantly improve the retrieval effectiveness, but require graph structures to be exploited beyond standard reasoning. Our findings can help to develop more effective information and data retrieval methods that can enhance the performance of semantic search engines that operate with structured domain-specific Web data.

The work was partially supported by the Academy of Finland (278090).

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Author information

Authors and Affiliations

  1. Helsinki Institute for Information Technology HIIT, Aalto University, Finland

    Tuukka Ruotsalo

  2. Semantic Computing Research Group (SeCo), Aalto University, Finland

    Eero Hyvönen

Authors
  1. Tuukka Ruotsalo
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  2. Eero Hyvönen
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Editor information

Editors and Affiliations

  1. Vienna University of Technology, Institute of Software Technology and Interactive Systems, Favoritenstraße 9-11/188, 1040, Vienna, Austria

    Allan Hanbury

  2. Lumi, Semion Ltd., 111 Charterhouse Street, EC1M 6AW, London, UK

    Gabriella Kazai

  3. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstraße 9-11/188, 1040, Vienna, Austria

    Andreas Rauber

  4. Universität Duisburg-Essen, Lotharstraße 65, 47057, Duisburg, Germany

    Norbert Fuhr

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© 2015 Springer International Publishing Switzerland

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Ruotsalo, T., Hyvönen, E. (2015). Exploiting Semantic Annotations for Domain-Specific Entity Search. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham. https://doi.org/10.1007/978-3-319-16354-3_40

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  • DOI: https://doi.org/10.1007/978-3-319-16354-3_40

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16353-6

  • Online ISBN: 978-3-319-16354-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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