Advanced Search Technologies for Unfamiliar Metadata
CALIFORNIA UNIV BERKELEY SCHOOL OF INFORMATION MANAGEMENT AND SYSTEMS
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Searching of databases textual or numeric is likely to be effective and efficient only if the user is familiar with the classification, categorizing, and indexing schemes metadata vocabularies being searched. Therefore, it is obviously beneficial to provide a bridge between the users ordinary language and the metadata vocabularies of the unfamiliar database to compensate for abbreviated, cryptic, or specialized terminologies. Advanced search technologies would utilize customized Entry Vocabulary Modules EVM that respond adaptively to the users ordinary language query with a ranked list of search terms in the target metadata vocabularies that may more accurately represent what is sought in the unfamiliar database. These EVMs can serve both as an indexing device and a search aid. This project has developed EVMs for several metadata vocabularies, including domestic and international patent classifications and U.S. Standard Industrial Classification Codes. An agent-based architecture is under design to lighten the task of cracking alien metadata vocabularies.
- Information Science
- Computer Programming and Software