Information Retrieval from the Web: An Interactive Paradigm

  • Massimiliano Albanese
  • Pasquale Capasso
  • Antonio Picariello
  • Antonio Maria Rinaldi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3665)


Information retrieval is moving beyond the stage where users simply type one or more keywords and retrieve a ranked list of documents. In such a scenario users have to go through the returned documents in order to find what they are actually looking for. More often they would like to get targeted answers to their queries without extraneous information, even if their requirements are not well specified. In this paper we propose an approach for designing a web retrieval system able to find the desired information through several interactions with the users. The proposed approach allows to overcome the problems deriving from ambiguous or too vague queries, using semantic search and topic detection techniques. The results of the very first experiments on a prototype system are also reported.


Information Retrieval Semantic Relatedness Ambiguous Word Semantic Search Interactive Paradigm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Massimiliano Albanese
    • 1
  • Pasquale Capasso
    • 1
  • Antonio Picariello
    • 1
  • Antonio Maria Rinaldi
    • 1
  1. 1.Università di Napoli “Federico II”NapoliItaly

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