Document - An approach to representing uncertainty rules in ruleML

2006

Conference article Open Access

An approach to representing uncertainty rules in ruleML

Damasio C. V., Pan J. Z., Stoilos G., Straccia U.

Artificial intelligence

The RuleML initiative defines a normalized markup for expressing 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. 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. We hope this work can also provide some insights on how to cover uncertainty in the RIF framework.

Source: Second International Conference on Rules and Rule Markup Languages for the Semantic Web. RuleML-06, pp. 97–106, Athens, Georgia, USA, 10-11/11/2006

Publisher: IEEE Computer Society, Washington, DC, USA

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@inproceedings{oai:it.cnr:prodotti:91297,
	title = {An approach to representing uncertainty rules in ruleML},
	author = {Damasio C.  V. and Pan J.  Z. and Stoilos G. and Straccia U.},
	publisher = {IEEE Computer Society, Washington, DC, USA},
	doi = {10.1109/ruleml.2006.3},
	booktitle = {Second International Conference on Rules and Rule Markup Languages for the Semantic Web. RuleML-06, pp. 97–106, Athens, Georgia, USA, 10-11/11/2006},
	year = {2006}
}