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    Automatic Thesaurus Generation for an Electronic Community System

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    Author
    Chen, Hsinchun
    Schatz, Bruce R.
    Yim, Tak
    Fye, David
    Issue Date
    1995-04
    Submitted date
    2004-09-20
    Keywords
    Artificial Intelligence
    Indexing
    Local subject classification
    National Science Digital Library
    NSDL
    Artificial intelligence lab
    AI lab
    
    Metadata
    Show full item record
    Citation
    Automatic Thesaurus Generation for an Electronic Community System 1995-04, 46(3):175-193 Journal of the American Society for Information Science
    Publisher
    Wiley Periodicals, Inc
    Journal
    Journal of the American Society for Information Science
    Description
    Artificial Intelligence Lab, Department of MIS, University of Arizona
    URI
    http://hdl.handle.net/10150/105321
    Abstract
    This research reports an algorithmic approach to the automatic generation of thesauri for electronic community systems. The techniques used included term filtering, automatic indexing, and cluster analysis. The testbed for our research was the Worm Community System, which contains a comprehensive library of specialized community data and literature, currently in use by molecular biologists who study the nematode worm C. elegans. The resulting worm thesaurus included 2709 researchers’ names, 798 gene names, 20 experimental methods, and 4302 subject descriptors. On average, each term had about 90 weighted neighboring terms indicating relevant concepts. The thesaurus was developed as an online search aide. We tested the worm thesaurus in an experiment with six worm researchers of varying degrees of expertise and background. The experiment showed that the thesaurus was an excellent “memory-jogging” device and that it supported learning and serendipitous browsing. Despite some occurrences of obvious noise, the system was useful in suggesting relevant concepts for the researchers’ queries and it helped improve concept recall. With a simple browsing interface, an automatic thesaurus can become a useful tool for online search and can assist researchers in exploring and traversing a dynamic and complex electronic community system.
    Type
    Journal Article (Paginated)
    Language
    en
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