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Towards Semantic Search for Improved Decision-Making

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Business Information Systems (BIS 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 117))

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Abstract

Search applications empower users by simple and quick access to information. However, there is also a significant amount of multi-query sessions originating from a necessity to make a decision, for instance, decide which place to visit. Consequently, the ultimate value of the information provided by a search engine is directly related to the quality of the decision made. Most of current search systems focus on providing a ranked list of information sources relevant to a user’s query, while high quality decision-making is characterized by an explicit account on feasible alternatives, reliable information, and clear trade-offs. In this paper we outline our vision on how decision-making can be enabled by enhanced Web search.

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Author information

Authors and Affiliations

  1. Strasunskas Forskning, Norway

    Darijus Strasunskas

  2. Microsoft, Norway

    Stein L. Tomassen

Authors
  1. Darijus Strasunskas
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  2. Stein L. Tomassen
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Editor information

Editors and Affiliations

  1. Poznań University of Economics, Poznań, Poland

    Witold Abramowicz

  2. Vilnius University, Kaunas, Lithuania

    Dalia Kriksciuniene  & Virgilijus Sakalauskas  & 

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Strasunskas, D., Tomassen, S.L. (2012). Towards Semantic Search for Improved Decision-Making. In: Abramowicz, W., Kriksciuniene, D., Sakalauskas, V. (eds) Business Information Systems. BIS 2012. Lecture Notes in Business Information Processing, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30359-3_19

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  • DOI: https://doi.org/10.1007/978-3-642-30359-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30358-6

  • Online ISBN: 978-3-642-30359-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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