Optical Adjacency Matrix Associative Processor

David Casasent; Brian Telfer

doi:10.1117/12.962242

5 February 1990 Optical Adjacency Matrix Associative Processor

David Casasent, Brian Telfer

Proceedings Volume 1151, Optical Information Processing Systems and Architectures; (1990) https://doi.org/10.1117/12.962242
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

Abstract

A new bidirectional optical associative processor is described for searching a hierarchical database that is stored as an adjacency matrix. The paper discusses how the processor can answer relatively complex queries on a knowledge base when the queries are formulated as combinations of set closures, unions, intersections, and complementations. Thus, a processor that performs general set operations results, as well as a system that can answer various knowledge base queries and guide a knowledge base search. These are new operations for associative processors that increase their utility. This new associative processor operates on entities and their attributes. It can be viewed as a type lattice processor (since the entities and attributes form a hierarchy known as a type lattice), as a closure processor (since it performs closure operations that list all attributes of an entity [or entities] or all entities with a given attribute [or attributes]), or as an adjacency processor (since the connection matrix used stores adjacent associations of attributes and entities).

Citation Download Citation

David Casasent and Brian Telfer "Optical Adjacency Matrix Associative Processor", Proc. SPIE 1151, Optical Information Processing Systems and Architectures, (5 February 1990); https://doi.org/10.1117/12.962242

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