Domain specific information retrieval system

  • Authors:
  • Sandi Pohorec;Mateja Verlič;Milan Zorman

  • Affiliations:
  • Laboratory for system design, University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;Laboratory for system design, University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;Laboratory for system design, University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia

  • Venue:
  • ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
  • Year:
  • 2009

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Abstract

In the fast evolving world that we live in today, the search for information has become increasingly important. Of course the tool that we use almost exclusively for this task is an internet search engine. We are all very familiar with the capabilities of large scale search engines, such as Google. Naturally a question arises if there is really a need to develop another search engine although on a smaller, local, domain oriented level. We believe that the answer will, at least in the foreseeable future, be positive. The reasons for this are: access to privileged information, personalization and custom ranking functions. The paper describes a centralized search service for domain specific content. The approach uses automated indexing for various content that can be in the form of a relational database, web service, web portal or page, various document formats and other structured or unstructured data. The indexed data is accessible through a highly optimized and personalized search service.