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Title:
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IMPLEMENTING CONTEXT-SPECIFIC VIEWS TO DISTRIBUTED (RULE) DATABASES WITH FUZZY LOGIC |
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Author(s):
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Ossi Nykänen |
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ISBN:
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978-972-8924-44-7 |
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Editors:
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Pedro Isaías , Miguel Baptista Nunes and João Barroso (associate editors Luís Rodrigues and Patrícia Barbosa) |
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Year:
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2007 |
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Edition:
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V I, 2 |
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Keywords:
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Fuzzy logic, Logic programming, Context-aware programming, Fuzzy join. |
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Type:
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Full Paper |
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First Page:
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305 |
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Last Page:
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312 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this article, we report a system for working with distributed fuzzy logic and rule systems, based on a mapping to logic
programming with easily accessible Prolog tools. In short, we outline an approach for performing joins of fuzzy
databases and procedures in terms of type-1 fuzzy logic programs, and generalize this approach by considering contextaware
logic programs. The main use cases include aggregating fuzzy descriptions and managing distributed procedures
that can be seamlessly integrated to context-aware logic programs, for implementing views to the global knowledge base.
The main contribution of this article lies in the novel approach of expressing joins of fuzzy databases and fuzzy inference
systems in terms of the logic programming paradigm, generalizing this framework in terms of explicit assertion and
interpretation context(s), and then reducing these systems into Prolog programs. To illustrate our work, we discuss the
approach in terms of simple examples, drawn from concrete applications, and discuss the implications. The motivation
for the work stems from a European network of excellence thriving to establish a distributed open knowledge system
based on the ideology of open source communities.
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