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Making Use of Linked Data for Generating Enhanced Snippets

  • Mazen Alsarem
  • Pierre-Édouard PortierEmail author
  • Sylvie Calabretto
  • Harald Kosch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

We enhance an existing search engine’s snippet (i.e. excerpt from a web page determined at query-time in order to efficiently express how the web page may be relevant to the query) with linked data (LD) in order to highlight non trivial relationships between the information need of the user and LD resources related to the result page. To do this, we introduce a multi-step unsupervised co-clustering algorithm so as to use the textual data associated with the resources for discovering additional relationships. Next, we use a 3-way tensor to mix these new relationships with the ones available from the LD graph. Then, we apply a first PARAFAC tensor decomposition [5] in order to (i) select the most promising nodes for a 1-hop extension, and (ii) build the enhanced snippet. A video demonstration is available online (http://liris.cnrs.fr/drim/projects/ensen/).

Keywords

Linked data Information retrieval Snippets Co-Clustering Tensor decomposition 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mazen Alsarem
    • 1
  • Pierre-Édouard Portier
    • 1
    Email author
  • Sylvie Calabretto
    • 1
  • Harald Kosch
    • 2
  1. 1.Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205LyonFrance
  2. 2.Universität PassauPassauGermany

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