|ASIS&T 2006||START Conference Manager|
The proposed solution: using MeSH as a term suggestion tool In an automatic indexing environment where the indexing exhaustivity is quite high, short queries usually produce unmanageably large returned sets. The lack of precision of the search can be alleviated, however, by eliciting longer queries from the user. To elicit more terms from users, we propose a term suggestion feature that utilizes the classification structure of MeSH. The tool involves extracting MeSH terms present in the returned set after the user submit her/his query. These terms are considered conceptually associated with the original query due to their co-occurrences in the retrieved records.
Extracted terms presentation It is crucial to organize and present the extracted MeSH terms in a manner that makes efficient browsing and selection possible. We plan to experiment and compare two ways of presenting the MeSH terms to the user. The baseline system will simply rank the terms based on their frequency in the original returned set. The other presentation method will organize the extracted terms using the 15 top-level semantic categories of MeSH. Terms co-occur with the initial query will be mapped against the MeSH tree with the non-occurring terms left out. Thus a filtered MeSH tree that includes only the extracted terms will be generated dynamically each time a query is submitted. The user will be given the option of browsing and selecting terms from the post-querying MeSH tree.
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