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Mini-ME Matchmaker and Reasoner for the Semantic Web of Things

Mini-ME Matchmaker and Reasoner for the Semantic Web of Things

Floriano Scioscia, Michele Ruta, Giuseppe Loseto, Filippo Gramegna, Saverio Ieva, Agnese Pinto, Eugenio Di Sciascio
Copyright: © 2018 |Pages: 33
ISBN13: 9781522550426|ISBN10: 1522550429|EISBN13: 9781522550433
DOI: 10.4018/978-1-5225-5042-6.ch010
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MLA

Scioscia, Floriano, et al. "Mini-ME Matchmaker and Reasoner for the Semantic Web of Things." Innovations, Developments, and Applications of Semantic Web and Information Systems, edited by Miltiadis D. Lytras, et al., IGI Global, 2018, pp. 262-294. https://doi.org/10.4018/978-1-5225-5042-6.ch010

APA

Scioscia, F., Ruta, M., Loseto, G., Gramegna, F., Ieva, S., Pinto, A., & Di Sciascio, E. (2018). Mini-ME Matchmaker and Reasoner for the Semantic Web of Things. In M. Lytras, N. Aljohani, E. Damiani, & K. Chui (Eds.), Innovations, Developments, and Applications of Semantic Web and Information Systems (pp. 262-294). IGI Global. https://doi.org/10.4018/978-1-5225-5042-6.ch010

Chicago

Scioscia, Floriano, et al. "Mini-ME Matchmaker and Reasoner for the Semantic Web of Things." In Innovations, Developments, and Applications of Semantic Web and Information Systems, edited by Miltiadis D. Lytras, et al., 262-294. Hershey, PA: IGI Global, 2018. https://doi.org/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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