Mobile Semantic-Based Matchmaking: A Fuzzy DL Approach

Novel wireless handheld devices allow the adoption of revised and adapted discovery approaches originally devised for the Semantic Web in mobile ad-hoc networks. Nevertheless, capabilities of such devices require an accurate re-design of frameworks and algorithms to efficiently support mobile users. The paper focuses on an implementation of concept abduction and contraction algorithms in (fuzzy) ALN (D) DL settings to perform semantic matchmaking and provide logical explanation services. OWL-DL Knowledge Bases have been properly exploited to enable standard and non-standard inference services. The proposed framework has been implemented and tested in a fire hazards prevention case study: early experimental results are reported.