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ERIC Number: ED245694
Record Type: RIE
Publication Date: 1984-Jun
Pages: 27
Abstractor: N/A
Inductive Information Retrieval Using Parallel Distributed Computation.
Mozer, Michael C.
This paper reports on an application of parallel models to the area of information retrieval and argues that massively parallel, distributed models of computation, called connectionist, or parallel distributed processing (PDP) models, offer a new approach to the representation and manipulation of knowledge. Although this document focuses on information retrieval systems used in bibliographic searching, known as document retrieval systems, the discussion generalizes quite readily to broader applications of information retrieval. The retrieval system described makes dynamic use of the internal structure of a database to infer relationships among items in the database. Using these relationships, the system can help overcome incompleteness and imprecision in requests for information, as well as in the database itself. The appendix to this report is a summary of activation rules and parameter values of the test system. (Author/DMC)
Publication Type: Reports - Research
Education Level: N/A
Audience: Researchers; Policymakers
Language: English
Sponsor: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.
Authoring Institution: California Univ., San Diego, La Jolla. Inst. for Cognitive Science.
Grant or Contract Numbers: N/A