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Representing Uncertainty in RuleML

Representing Uncertainty in RuleML,Fundamenta Informaticae,Carlos Viegas Damásio,Jeff Z. Pan,Giorgos Stoilos,Umberto Straccia

Representing Uncertainty in RuleML   (Citations: 9)
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The RuleML initiative defines a normalized markup for expres sing and exchange rules in the Semantic Web. However, the syntax of the language is still limited and lacks features for representing rule-based languages capable of handling uncertainty and vagueness. It is desirable to have a general extension of RuleML which accommodates major existing languages proposed in the latest two decades. The main contribution of the paper is to propose such a general extension, showing how to encode many of the existing languages in this extension. It is detailed the important case of fuzzy rule languages. We hope this work can also provide some insights on how to cover uncertainty in the RIF framework.
Journal: Fundamenta Informaticae - FUIN , vol. 82, no. 3, pp. 265-288, 2008
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    • ...The need of such systems has recently been advocated by Zadeh [8]: from a theoretical point of view, Dama´sio et al. [9] have shown that it is possible to use a unified language for the representation of different types of imperfectrules:however,asfarasweknow,veryfewsimilar works have been carried out for rule evaluation (e.g., [10])...
    • ...The goal of this work, hence, is to introduce generic imperfect evaluations in a RETE network: to do so,we started froma realistic case, DROOLS,extending its language, in accordance with [9] and in prevision of a future compatibility with fuzzy RuleML, using metadata to define the actual semantics of the imperfection associated to the rules...
    • ...The actual implementation can be controlled using attributes, like in [9]...

    Davide Sottaraet al. A Configurable Rete-OO Engine for Reasoning with Different Types of Im...

    • ...For example, Damásio et al. [14] extend the RuleML language to express degrees of truth assigned to propositions and rules, however their approach do not support fuzzy properties and membership functions...

    Cristiane A. Yaguinumaet al. A Meta-ontology Approach for Representing Vague Linguistic Terms and F...

    • ...On the other hand, as evidenced by Fuzzy RuleML [3] and W3C’s Uncertainty Reasoning for the World Wide Web (URW3) Incubator Group [4], handling uncertain knowledge is becoming a critical research direction for the (Semantic) Web...

    Huizhang Shenet al. Building fuzzy hybrid Horn logic rules on top of ontologies

    • ...And there are also attempts to manage uncertainty in logic programming [5] [6]...

    Dae Sic Leeet al. Robust Object Instance Registration to Robot-centered Knowledge Framew...

    • ...These novel enhancements offer new possibilities and challenges for the application programmer developing expert systems and indicate first steps towards convergence with the fuzzy RuleML inititative as proposed in [2]...
    • ...The proposed syntax has been inspired by the fuzzy RuleML initiative [2] adopted for the Drools DRL, although it is not formulated in XML...
    • ...To support fuzzy and more general, imperfect extensions, the constructs introduced by the Fuzzy RuleML [2] module should be included...

    Nikolaus Wulffet al. Fuzzy Reasoning with a Rete-OO Rule Engine

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