Social Semantic Rule Sharing and Querying in Wellness Communities

Authors:
Harold Boley;Taylor Michael Osmun;Benjamin Larry Craig
Affiliations:
Institute for Information Technology, National Research Council of Canada, Fredericton, Canada E3B 9W4;Institute for Information Technology, National Research Council of Canada, Fredericton, Canada E3B 9W4;Institute for Information Technology, National Research Council of Canada, Fredericton, Canada E3B 9W4
Venue:
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
Year:
2009

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Abstract

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.