A Net Structure for Semantic Information Storage, Deduction and Retrieval

نویسنده

  • Stuart C. Shapiro
چکیده

This paper describes a data structure, MENS (MEmory Net Structure), that is useful for storing semantic information stemming from 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 tel l ing it how to deduce new information from what is already stored. MENTAL can be used as a guestion-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.

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تاریخ انتشار 1971