Associative Models for Storing and Retrieving Concept Lattices | Zendy

Elena Acevedo | Zendy; Cornelio Yáñez-Márquéz | Zendy; Antonio Acevedo | Zendy

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Associative Models for Storing and Retrieving Concept Lattices

Author(s) -

Elena Acevedo,

Cornelio Yáñez-Márquéz,

Antonio Acevedo

Publication year - 2010

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2010/356029

Subject(s) - associative property , computer science , content addressable memory , recall , construct (python library) , lattice (music) , theoretical computer science , artificial intelligence , mathematics , psychology , cognitive psychology , artificial neural network , pure mathematics , programming language , physics , acoustics

Alpha-beta bidirectional associative memories are implemented for storing concept lattices. We use Lindig's algorithm to construct a concept lattice of a particular context; this structure is stored into an associative memory just as a human being does, namely, associating patterns. Bidirectionality and perfect recall of Alpha-Beta associative model make it a great tool to store a concept lattice. In the learning phase, objects and attributes obtained from Lindig's algorithm are associated by Alpha-Beta bidirectional associative memory; in this phase the data is stored. In the recalling phase, the associative model allows to retrieve objects from attributes or vice versa. Our model assures the recalling of every learnt concept

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