Inductive information retrieval using parallel distributed computation. Technical report

Technical Report · Fri Jun 01 00:00:00 EDT 1984

OSTI ID:6436031

Mozer, M C

Massively parallel, distributed models of computation offer a new approach to the representation and manipulation of knowledge. This paper reports on an application of parallel models to the area 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.

• Research Organization: California Univ., San Diego, La Jolla (USA). Inst. for Cognitive Science
• OSTI ID: 6436031
• Report Number(s): AD-A-142712/9
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
DISTRIBUTED DATA PROCESSING
PARALLEL PROCESSING
DATA BASE MANAGEMENT
INFORMATION RETRIEVAL
DATA PROCESSING
MANAGEMENT
PROCESSING
PROGRAMMING
990200* - Mathematics & Computers