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An Enhanced Search Interface for Information Discovery from Digital Libraries

  • Georgia Koutrika
  • Alkis Simitsis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4172)

Abstract

Libraries, museums, and other organizations make their electronic contents available to a growing number of users on the Web. A large fraction of the information published is stored in structured or semi-structured form. However, most users have no specific knowledge of schemas or structured query languages for accessing information stored in (relational or XML) databases. Under these circumstances, the need for facilitating access to information stored in databases becomes increasingly more important. Précis queries are free-form queries that instead of simply locating and connecting values in tables, they also consider information around these values that may be related to them. Therefore, the answer to a précis query might also contain information found in other parts of the database. In this paper, we describe a précis query answering prototype system that generates personalized presentation of short factual information précis in response to keyword queries.

Keywords

Digital Library Database Schema Inverted Index Query Keyword Structure Query Language 
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 2006

Authors and Affiliations

  • Georgia Koutrika
    • 1
  • Alkis Simitsis
    • 2
  1. 1.Department of Computer ScienceUniversity of AthensAthensGreece
  2. 2.Department of Electrical and Computer EngineeringNational Technical University of AthensAthensGreece

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