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Founded 2002
Founder RuleML Inc.
Focus Rule-based programming, Rule-based system, Logic programming, Production rule system, Business rules engine, Business rule management system, Semantic Web, Rule-based language
Origins RuleML
Products RuleML, W3C SWRL, W3C RIF, OASIS Legal RuleML, RuleML Symposium
Key people
Harold Boley, Adrian Paschke
Slogan Realize your Knowledge

The Rule Markup Language (RuleML) is a markup language developed to express both forward (bottom-up) and backward (top-down) rules in XML for deduction, rewriting, and further inferential-transformational tasks. It is defined by the Rule Markup Initiative, an open network of individuals and groups from both industry and academia that was formed to develop a canonical Web language for rules using XML markup and transformations from and to other rule standards/systems.

Markup standards and initiatives related to RuleML include:

  • Mathematical Markup Language (MathML): However, MathML's Content Markup is better suited for defining functions rather than relations or general rules
  • DARPA Agent Markup Language (DAML): While the contributing SHOE project has permitted Horn rules and a DAML-RULES is planned, the current DAML+OIL (March 2001) does not yet include a specification of explicit inference rules
  • Predictive Model Markup Language (PMML): With this XML-based language one can define and share various models for data-mining results, including association rules
  • Attribute Grammars in XML (AG-markup): For AG's semantic rules, there are various possible XML markups that are similar to Horn-rule markup
  • Extensible Stylesheet Language Transformations (XSLT): This is a restricted term-rewriting system of rules, written in XML, for transforming XML documents into other text documents

See also

External links