Advances in Rule Interchange and Applications
DOI: 10.1007/978-3-540-75975-1_12
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The OO jDREW Engine of Rule Responder: Naf Hornlog RuleML Query Answering

Abstract: 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 En… Show more

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Cited by 4 publications
(4 citation statements)
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“…Rule Responder started to support the organizing committee of the RuleML Symposium [8] and was further developed to assist the yearly RuleML Symposia since 2007. These applications embody responsibility assignment, automated firstlevel contacts for information regarding the symposium, helping the publicity chair with sponsoring correspondence, helping the panel chair with managing panel participants, and the liason chair with coordinating organization partners.…”
Section: Symposiumplannermentioning
confidence: 99%
See 1 more Smart Citation
“…Rule Responder started to support the organizing committee of the RuleML Symposium [8] and was further developed to assist the yearly RuleML Symposia since 2007. These applications embody responsibility assignment, automated firstlevel contacts for information regarding the symposium, helping the publicity chair with sponsoring correspondence, helping the panel chair with managing panel participants, and the liason chair with coordinating organization partners.…”
Section: Symposiumplannermentioning
confidence: 99%
“…The idea is the following. As in Friend of a Friend (FOAF) 8 , people can choose a (community-unique) nickname and create semantic profiles about themselves, here about their wellness practices, for their own planning and to network with other people supported by a system that `understands' those profiles. As in FindXpRT [10], such FOAF-like fact-only profiles are extended with rules to capture conditional person-centered knowledge such as each person's wellness activity depending on the season, the time-of-day, the weather, etc.…”
Section: Wellnessrulesmentioning
confidence: 99%
“…Since 2007 [5], SymposiumPlanner has continued to support the organizing committee of the RuleML Symposium and was continuously developed to support this annual meeting (in 2011, it supports two RuleML Symposia). Symposium organization typically involves organization partner coordination, sponsoring correspondence, panel participants management, etc.…”
Section: Introductionmentioning
confidence: 99%
“…The new Rule Responder web interface allows users to issue formal queries via web forms and in controlled natural language. Meanwhile, there are large semantic knowledge repositories on the Internet, such as: DBpedia (Deutschland) 5 , Freebase 6 , YAGO 7 , Semantic Web Dog Food 8 . By reusing and integrating existing fact information on the Internet, we avoid redundancy in the knowledge bases of the SymposiumPlanner's agents.…”
Section: Introductionmentioning
confidence: 99%