Abstract
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) \({\mathcal{ALN}}\)(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.
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Ruta, M., Scioscia, F., Di Sciascio, E. (2010). Mobile Semantic-Based Matchmaking: A Fuzzy DL Approach. In: Aroyo, L., et al. The Semantic Web: Research and Applications. ESWC 2010. Lecture Notes in Computer Science, vol 6088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13486-9_2
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DOI: https://doi.org/10.1007/978-3-642-13486-9_2
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