Providing Database-like Access to the Web Using Queries Based on Textual Similarity.

@inproceedings{DBLP:conf/sigmod/Cohen98a,
  author    = {William W. Cohen},
  editor    = {Laura M. Haas and
               Ashutosh Tiwary},
  title     = {Providing Database-like Access to the Web Using Queries Based
               on Textual Similarity},
  booktitle = {SIGMOD 1998, Proceedings ACM SIGMOD International Conference
               on Management of Data, June 2-4, 1998, Seattle, Washington, USA},
  publisher = {ACM Press},
  year      = {1998},
  isbn      = {0-89791-995-5},
  pages     = {558-560},
  ee        = {http://doi.acm.org/10.1145/276304.276380, db/conf/sigmod/Cohen98a.html},
  crossref  = {DBLP:conf/sigmod/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Most databases contain ``name constants'' like course numbers, personal names, and place names that correspond to entities in the real world. Previous work in integration of heterogeneous databases has assumed that local name constants can be mapped into an appropriate global domain by normalization. Here we assume instead that the names are given in natural language text. We then propose a logic for database integration called WHIRL which reasons explicitly about the similarity of local names, as measured using the vector-space model commonly adopted in statistical information retrieval. An implemented data integration system based on WHIRL has been used to successfully integrate information from several dozen Web sites in two domains.

More information is available on the author's homepage.

Copyright © 1998 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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