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Professional Search in the Modern World pp 96–117Cite as

Domain Specific Search

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8830))

Abstract

This chapter takes a look at the existing search landscape to observe that there are a myriad of search systems, covering all possible domains, which share a handful of theoretical retrieval models and are separated by a series of pre- and post-processing steps as well as a finite set of parameters. We also observe that given the infinite variety of real-world search tasks and domains, it is unlikely that any one combination of these steps and parameters would yield a renaissance-engine — a search engine that can answer any questions about art, sciences, law or entertainment. We therefore set forth to analyze the different components of a search system and propose a model for domain specific search, including a definition thereof, as well as a technical framework to build a domain specific search system.

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Author information

Authors and Affiliations

  1. Institute for Software Technology and Interactive Systems, Vienna University of Technology, Austria

    Mihai Lupu, Michail Salampasis & Allan Hanbury

Authors
  1. Mihai Lupu
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  2. Michail Salampasis
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  3. Allan Hanbury
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Editor information

Editors and Affiliations

  1. School of Technology, University of Wolverhampton, Wulfruna Street, WV1 1LY, Wolverhampton, UK

    Georgios Paltoglou

  2. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Fernando Loizides

  3. Swedish Institute of Computer Science, Isafjordsgatan 22, SE-164 28, Kista, Sweden

    Preben Hansen

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Lupu, M., Salampasis, M., Hanbury, A. (2014). Domain Specific Search. In: Paltoglou, G., Loizides, F., Hansen, P. (eds) Professional Search in the Modern World. Lecture Notes in Computer Science, vol 8830. Springer, Cham. https://doi.org/10.1007/978-3-319-12511-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-12511-4_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12510-7

  • Online ISBN: 978-3-319-12511-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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