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Rule Responder is an intelligent multi-agent system for collaborative teams and virtual communities that uses RuleML as its rule interchange format. The system allows these virtual organizations to collaborate in an effective semi-automatic manner, and is implemented as a Web-based application on top of the Enterprise Service Bus Mule. It supports rule execution environments (rule/inference engines) such as the Prova distributed Semantic Web rule engine and OO jDREW (Object Oriented java Deductive Reasoning Engine for the Web). The paper describes the role of OO jDREW for answering queries against rule bases in the Naf Hornlog RuleML sublanguage for the real-world use case of a symposium organization.

In this paper we describe the Web 3.0 case study WellnessRules, where ontology-structured rules (including facts) about wellness opportunities are created by participants in rule languages such as Prolog and N3, and translated for interchange within a wellness community using RuleML/XML. The wellness rules are centered around participants, as profiles, encoding knowledge about their activities, nutrition, etc. conditional on the season, the time-of-day, the weather, etc. This distributed knowledge base extends fact-only FOAF profiles with a vocabulary and rules about wellness group networking. The communication between participants is organized through Rule Responder, permitting translator-based reuse of wellness profiles and their distributed querying across engines. WellnessRules interoperates between rules and queries in the relational (Datalog) paradigm of the pure-Prolog subset of POSL and in the frame (F-logic) paradigm of N3. These derivation rule languages are implemented in the engines OO jDREW and Euler, and connected via Rule Responder to support wellness communities. An evaluation of Rule Responder instantiated for WellnessRules found acceptable Web response times.

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