A Net Structure for Semantic Information Storage, Deduction and Retrieval

dc.contributor.authorShapiro, Stuart C.en_US
dc.date.accessioned2012-03-15T16:19:43Z
dc.date.available2012-03-15T16:19:43Z
dc.date.created1971en_US
dc.date.issued1971en
dc.description.abstractThis paper descril3es a data structure, MENS (MEmory Net Structure), that is useful for storing semantic information stemming Crom a natural language, and a system, MENTAL (MEmory Net That Answers and Learns) that interacts with a user (human or program), stores information into and retrieves information from MENS and interprets some information in MENS as rules telling it how to deduce new information from what is already stored. MENTAI can be used as a question- answering system with formatted input/output, as a vehicle for experimenting with various theories of semantic structures or as the memory management portion of a natural language question-answering system.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationTR109en
dc.identifier.urihttp://digital.library.wisc.edu/1793/57666
dc.publisherUniversity of Wisconsin-Madison Department of Computer Sciencesen_US
dc.titleA Net Structure for Semantic Information Storage, Deduction and Retrievalen_US
dc.typeTechnical Reporten_US

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