Supporting discovery in virtual libraries
Journal of the American Society for Information Science
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
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As the mounds of information and the number of Internet users grow, the problem of indexing and retrieving of electronic information resources becomes more critical. The existing search systems tend to generate misses and false hits due to the fact that they attempt to match the specified search terms without proper context in the target information resource. In environments that contain many different types of data, content indexing requires type-specific processing to extract indexing information effectively. The COncordia INdexing and DIscovery (Cindi) system is a system devised to support the registration of indexing meta-data for information resources and provide a convenient system for search and discovery. The Semantic Header, containing the semantic contents of information resources stored in the Cindi system, provides a useful tool to facilitate the searching for documents based on a number of commonly used criteria. This paper presents an automatic tool for the extraction and storage of some of the meta-information in a Semantic Header and the classification scheme used for generating the subject headings.