Abstract
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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Kim, J., Fox, G., & Yoo, S. J. (2005). Data integration hub for a hybrid paper search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 170–176). Springer Verlag. https://doi.org/10.1007/11553939_25
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