A Net Structure for Semantic Information Storage, Deduction and Retrieval

dc.contributor.author	Shapiro, Stuart C.	en_US
dc.date.accessioned	2012-03-15T16:19:43Z
dc.date.available	2012-03-15T16:19:43Z
dc.date.created	1971	en_US
dc.date.issued	1971	en
dc.identifier.citation	TR109	en
dc.identifier.uri	http://digital.library.wisc.edu/1793/57666
dc.description.abstract	This 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.mimetype	application/pdf	en_US
dc.publisher	University of Wisconsin-Madison Department of Computer Sciences	en_US
dc.title	A Net Structure for Semantic Information Storage, Deduction and Retrieval	en_US
dc.type	Technical Report	en_US

CS Technical Reports
Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison