Dynamic personalization for meta-queriers

  • Authors:
  • Xiao Li;Rany Chow;Lu Chen

  • Affiliations:
  • Department of CISE, University of Florida, Gainesville, FL;Department of CISE, University of Florida, Gainesville, FL;Department of CISE, University of Florida, Gainesville, FL

  • Venue:
  • IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
  • Year:
  • 2009

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Abstract

There exist an increasing number of online databases searchable only through query interfaces. Meta-queriers with an integrated query interface are a practical solution to effective searching of information from multiple data sources. The diversity of user demands and their frequent changes necessitate the need for dynamic and personalized meta-queriers. This paper presents a mapping management system, called M-Repository, to facilitate the implementation of meta-queriers with two innovative features: personalized source selection and dynamic reconfiguration. To support such two features, M-Repository is designed to contain two unique functionalities: 1) reuse-oriented mapping discovery, 2) semantic-based mapping organization. This paper describes the models and implementation structure of M-Repository. Experiments are conducted on real-world query forms, and the results show that the approach is feasible and effective.