Entry Al-Hawamdeh:EPODD-2-4-179 from epodd.bib

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BibTeX entry

@Article{Al-Hawamdeh:EPODD-2-4-179,
  author =       "Suliman Al-Hawamdeh and Peter Willett",
  title =        "Paragraph-based nearest neighbor searching in
                 full-text documents",
  journal =      j-EPODD,
  volume =       "2",
  number =       "4",
  pages =        "179--192",
  month =        dec,
  year =         "1989",
  CODEN =        "EPODEU",
  ISSN =         "0894-3982",
  bibdate =      "Tue Aug 23 23:00:10 1994",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/epodd.bib",
  abstract =     "This paper discusses the searching of full-text
                 documents to identify paragraphs that are relevant to a
                 user request. Given a natural language query statement,
                 a nearest neighbour search involves ranking the
                 paragraphs comprising a full-text document in order of
                 descending similarity with the query, where the
                 similarity for each paragraph is determined by the
                 number of keyword stems that it has in common with the
                 query. This approach is compared with the more
                 conventional Boolean search which requires the user to
                 specify the logical relationships between the query
                 terms. Comparative searches using 130 queries and 20
                 full-text documents demonstrate the general
                 effectiveness of the nearest neighbour model for
                 paragraph-based searching. It is shown that the output
                 from a nearest neighbour search can be used to guide a
                 reader to the most appropriate segment of an online
                 full-text document.",
  keywords =     "Best match searching, Browsing, Full-text documents,
                 Information retrieval, Nearest neighbor searching,
                 Paragraph-based searching",
}

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