OWL API for iOS: Early Implementation and Results

Ruta, Michele; Scioscia, Floriano; Sciascio, Eugenio Di; Bilenchi, Ivano

doi:10.1007/978-3-319-54627-8_11

Cited by 3 publications

(1 citation statement)

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“…Non-standard inferences like abduction and contraction are needed to enable approximate matches, semantic ranking and explanations of outcomes (Colucci et al, 2007). For this reason, initial efforts have been made to port the OWL API to iOS (Ruta, Scioscia, Di Sciascio & Bilenchi, 2016), in order to support cross-platform SWoT applications and services.…”

Section: Related Workmentioning

confidence: 99%

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

Scioscia

Ruta

Loseto

et al. 2018

Innovations, Developments, and Applications of Semantic Web and Information Systems

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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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Section: Related Workmentioning

confidence: 99%