Data Integration Hub for a Hybrid Paper Search

  • Jungkee Kim
  • Geoffrey Fox
  • Seong Joon Yoo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3683)


In this paper we describe the design of a hybrid search that combines simple metadata search with a traditional keyword search over unstructured context data. This paradigm provides the inquirer additional options to narrow the search with some semantic aspects through the XML metadata query. We demonstrate a paper search for a case study of the hybrid search, and describe a data integration hub to integrate those data dispersed on the Net.


Hash Table Unstructured Data Relational Database Management System XPath Query Paper Search 
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

  • Jungkee Kim
    • 1
    • 2
  • Geoffrey Fox
    • 2
  • Seong Joon Yoo
    • 3
  1. 1.Department of Computer ScienceFlorida State UniversityTallahasseeUSA
  2. 2.Community Grids LaboratoryIndiana UniversityBloomingtonUSA
  3. 3.School of Computer EngineeringSejong UniversitySeoulKorea

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