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Reactive hybrid knowledge bases
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Resumo(s)
Hybrid knowledge bases are knowledge bases that combine ontologies with non-monotonic
rules, allowing to join the best of both open world ontologies and close world rules. Ontologies
shape a good mechanism to share knowledge on theWeb that can be understood
by both humans and machines, on the other hand rules can be used, e.g., to encode legal
laws or to do a mapping between sources of information.
Taking into account the dynamics present today on the Web, it is important for these
hybrid knowledge bases to capture all these dynamics and thus adapt themselves. To
achieve that, it is necessary to create mechanisms capable of monitoring the information
flow present on theWeb. Up to today, there are no such mechanisms that allow for monitoring
events and performing modifications of hybrid knowledge bases autonomously.
The goal of this thesis is then to create a system that combine these hybrid knowledge
bases with reactive rules, aiming to monitor events and perform actions over a knowledge
base. To achieve this goal, a reactive system for the SemanticWeb is be developed in
a logic-programming based approach accompanied with a language for heterogeneous
rule base evolution having as its basis RIF Production Rule Dialect, which is a standard
for exchanging rules over theWeb.
Descrição
Palavras-chave
Rules Ontologies Action rules Semantic web