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Mini-ME Matchmaker and Reasoner for the Semantic Web of Things
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Author(s): Floriano Scioscia (Polytechnic University of Bari, Italy), Michele Ruta (Polytechnic University of Bari, Italy), Giuseppe Loseto (Polytechnic University of Bari, Italy), Filippo Gramegna (Polytechnic University of Bari, Italy), Saverio Ieva (Polytechnic University of Bari, Italy), Agnese Pinto (Polytechnic University of Bari, Italy)and Eugenio Di Sciascio (Polytechnic University of Bari, Italy)
Copyright: 2018
Pages: 33
Source title:
Innovations, Developments, and Applications of Semantic Web and Information Systems
Source Author(s)/Editor(s): Miltiadis D. Lytras (American College of Greece, Greece), Naif Aljohani (King Abdulaziz University, Saudi Arabia), Ernesto Damiani (University of Milan, Italy)and Kwok Tai Chui (The Open University of Hong Kong, Hong Kong)
DOI: 10.4018/978-1-5225-5042-6.ch010
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Abstract
The Semantic Web of Things (SWoT) aims to support smart semantics-enabled applications and services in pervasive contexts. Due to architectural and performance issues, most Semantic Web reasoners are often impractical to be ported: they are resource consuming and are basically designed for standard inference tasks on large ontologies. On the contrary, SWoT use cases generally require quick decision support through semantic matchmaking in resource-constrained environments. This paper describes Mini-ME (the Mini Matchmaking Engine), a mobile inference engine designed from the ground up for the SWoT. It supports Semantic Web technologies and implements both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction, covering, bonus, difference) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, usage scenarios and experimental performance evaluation are presented on PC (against other popular Semantic Web reasoners), smartphone and embedded single-board computer testbeds.
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