Evaluating and Enhancing Meta-Search Performance in Digital Libraries

  • Authors:
  • Bethina Schmitt;Sven Oberländer

  • Affiliations:
  • -;-

  • Venue:
  • WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
  • Year:
  • 2002

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Abstract

Applying meta search systems is a suitable method tosupport the user if there are many different retrievalservices available in the Web. Due to informationsplitting strategies of literature services existing metasearch systems either provide minimal integration ofresults or slow response times. In this paper, we presentan approach that combines techniques of personalizationand query processing in order to satisfy the user麓sdemand for both fast and comprehensive results.In order to evaluate and compare different queryprocessing strategies and additional influencingparameters we developed a simulation tool calledSIMPSON. Thereby, we can observe the performance ofquery processing within the context of different responsetimes of the underlying digital library services in the Web,with different kinds of user queries, and with differentsizes of query results. To evaluate and compare theperformance of different query processing and duplicatedetection strategies we developed metrics, particularlywith regard to user satisfaction.In this paper, we present results from our firstexperiments with SIMPSON, focusing on duplicatedetection, query specification, and Web serverperformances of the underlying digital library services.