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Automatic Query Formulations in Information Retrieval

dc.contributor.authorSalton, Gerarden_US
dc.contributor.authorBuckley, Chrisen_US
dc.contributor.authorFox, Edward A.en_US
dc.date.accessioned2007-04-23T16:45:52Z
dc.date.available2007-04-23T16:45:52Z
dc.date.issued1982-10en_US
dc.description.abstractModern information retrieval systems are designed to supply relevant information in response to requests received from the user population. In most retrieval environments the search requests consist of keywords, or index terms, interrelated by appropriate Boolean operators. Since it is difficult for untrained users to generate effective Boolean search requests, trained search intermediaries are normally used to translate original statements of user need into useful Boolean search formulations. Methods are introduced in this study which reduce the role of the search intermediaries by making it possible to generate Boolean search formulations completely automatically from natural language statements provided by the system patrons. Frequency considerations are used automatically to generate appropriate term combinations as well as Boolean connectives relating the terms. Methods are covered to produce automatic query formulations both in a standard Boolean logic system, as well as in an extended Boolean system in which the strict interpretation of the connectives is relaxed. Experimental results are supplied to evaluate the effectiveness of the automatic query formulation process in practice.en_US
dc.format.extent1728825 bytes
dc.format.extent546644 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR82-524en_US
dc.identifier.urihttps://hdl.handle.net/1813/6363
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleAutomatic Query Formulations in Information Retrievalen_US
dc.typetechnical reporten_US

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