Another look at automatic text-retrieval systems
Communications of the ACM
The connection machine
Communications of the ACM - Special issue on parallelism
Parallel free-text search on the connection machine system
Communications of the ACM - Special issue on parallelism
Parallel distributed processing: explorations in the microstructure of cognition, vol. 2: psychological and biological models
Communications of the ACM
Communications of the ACM
Probabilistic and genetic algorithms in document retrieval
Communications of the ACM
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Parallel Models of Associative Memory
Parallel Models of Associative Memory
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
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A browser concept based on a connectionist architecture is presented. The concept utilizes both distributed and local representations. A proof-of-concept system is implemented for an integrally developed, Honeywell-proprietary knowledge acquisition tool. In the browser, concepts and relations in a knowledge base are represented using microfeatures. The microfeatures can encode semantic attributes, structural features, contextual information, etc. Desired portions of the knowledge base can then be associatively retrieved based on a structured cue. An ordered list of partial matches is presented to the user for selection. Microfeatures can also be used as bookmarks-they can be placed dynamically at appropriate points in the knowledge base and subsequently used as retrieval cues. The browser concept can be applied wherever there is a need for conveniently inspecting and manipulating structured information.