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Exploratory Professional Search through Semantic Post-Analysis of Search Results

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Book cover Professional Search in the Modern World

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

Abstract

Professional Search is usually a recall-oriented problem. For helping the user to get efficiently a concise overview, to quickly restrict the search space and to make sense of the results, in this article we present an exploratory strategy for professional search that is based on semantic post-analysis of the classical search results (of keyword based queries). The described strategy can exploit the metadata that are already available, as well as the results of textual clustering and entity mining that can be performed at query time. The outcome of this process (i.e. metadata, clusters and entities grouped in categories) complement the ranked list of results produced from the core search engine with useful information for the user. This extra information is useful not only for providing a concise overview of the search results, but also for supporting a faceted and session-based interaction scheme that allows the users to restrict their focus gradually and to explore other related information. To tackle the corresponding configuration requirements of this process, we show how one can exploit the (constantly evolving) Linked Data for specifying the entities of interest and for providing further information about the identified entities. In this article, apart from detailing the steps of this process, we present applications of this approach in the marine domain and in the domain of patent search.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, FORTH-ICS, Greece

    Pavlos Fafalios & Yannis Tzitzikas

  2. Computer Science Department, University of Crete, Greece

    Pavlos Fafalios & Yannis Tzitzikas

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  1. Pavlos Fafalios
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  2. Yannis Tzitzikas
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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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Fafalios, P., Tzitzikas, Y. (2014). Exploratory Professional Search through Semantic Post-Analysis of Search Results. 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_9

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  • DOI: https://doi.org/10.1007/978-3-319-12511-4_9

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