1 March 1986 Document Retrieval Using A Fuzzy Knowledge-Based System
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This paper presents the design and development of a prototype document retrieval system using a knowledge-based systems approach. Both the domain-specific knowledge base and the inferencing schemes are based on a fuzzy set theoretic framework. A query in natural language represents a request to retrieve a relevant subset of documents from a document base. Such a query, which can include both fuzzy terms and fuzzy relational operators, is converted into an unambiguous intermediate form by a natural language interface. Concepts that describe domain topics and the relationships between concepts, such as the synonym relation and the implication relation between a general concept and more specific concepts, have been captured in a knowledge base. The knowledge base enables the system to emulate the reasoning process followed by an expert, such as a librarian, in understanding and reformulating user queries. The retrieval mechanism processes the query in two steps. First it produces a pruned list of documents pertinent to the query. Second, it uses an evidence combination scheme to compute a degree of support between the query and individual documents produced in step one. The front-end component of the system then presents a set of document citations to the user in ranked order as an answer to the information request.
Viswanath Subramanian, Viswanath Subramanian, Gautam Biswas, Gautam Biswas, James C. Bezdek, James C. Bezdek, } "Document Retrieval Using A Fuzzy Knowledge-Based System," Optical Engineering 25(3), 253445 (1 March 1986). https://doi.org/10.1117/12.7973842 . Submission:

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