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OWL API for iOS: Early Implementation and Results

  • Conference paper
OWL: Experiences and Directions – Reasoner Evaluation (OWLED 2016, ORE 2016)

Abstract

Semantic Web and Internet of Things are progressively converging, but the lack of reasoning tools for mobile devices on the iOS platform may hinder the progress of this vision. The paper presents an early redesign of OWL API for iOS. A partial port has been developed, effective enough to support mobile reasoning engines in a moderately expressive fragment of OWL 2. Both architecture and mobile-oriented optimization are sketched and preliminary performance results are discussed.

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Notes

  1. 1.

    http://www.oracle.com/technetwork/developer-tools/maf/overview/index.html.

  2. 2.

    https://www.codenameone.com/.

  3. 3.

    http://j2objc.org.

  4. 4.

    GitHub repository: https://github.com/sisinflab-swot/OWL-API-for-iOS.

  5. 5.

    Apache Jena project: https://jena.apache.org/.

  6. 6.

    http://www.cs.ox.ac.uk/isg/conferences/ORE2012/.

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Acknowledgment

The authors acknowledge partial support of Apulia region cluster project PERSON (PERvasive game for perSOnalized treatment of cognitive and functional deficits associated with chronic and Neurodegenerative diseases).

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Correspondence to Michele Ruta .

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Ruta, M., Scioscia, F., Di Sciascio, E., Bilenchi, I. (2017). OWL API for iOS: Early Implementation and Results. In: Dragoni, M., Poveda-Villalón, M., Jimenez-Ruiz, E. (eds) OWL: Experiences and Directions – Reasoner Evaluation. OWLED ORE 2016 2016. Lecture Notes in Computer Science(), vol 10161. Springer, Cham. https://doi.org/10.1007/978-3-319-54627-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-54627-8_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54626-1

  • Online ISBN: 978-3-319-54627-8

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