 Knowledge‐assisted document retrieval: I. The natural‐language interfaceGautam Biswas, James C. Bezdek, Marisol Marques and Viswanath Subramanian Journal of the American Society for Information Science, 1987, vol. 38, issue 2, 83-96 Abstract: In this article we describe the conceptual model and processing of (constrained) natural‐language queries in information retrieval systems. A language interface based on fuzzy set techniques is proposed to handle the uncertainty inherent in natural‐language semantics. The conceptual model is developed and exemplified in the context of document retrieval. Specifically, the user query is considered to be a triple, q = (qc, qy, qn), where qc indicates the part of the query that deals with concepts and operators that link these concepts, qy identifies the publication period the user is interested in, and qn, pertains to the number of documents to be retrieved. We describe query decomposition using an augmented transition network parser and the assignment of functions and relations needed by each portion of the query to represent uncertainties inherent in the natural language. The output of the natural‐language interface is then passed to a knowledge‐based retrieval mechanism that will be described in a companion article (Part II). © 1987 John Wiley & Sons, Inc. Date: 1987 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:38:y:1987:i:2:p:83-96 Ordering information: This journal article can be ordered from Access Statistics for this article More articles in Journal of the American Society for Information Science from Association for Information Science & Technology |
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