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Context-Aware Presentation of Linked Data on Mobile

Author

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  • Luca Costabello

    (Inria, Sophia Antipolis, France)

  • Fabien Gandon

    (Inria, Sophia Antipolis, France)

Abstract

In this paper the authors focus on context-aware adaptation for linked data on mobile. They split up the problem in two sub-questions: how to declaratively describe context at RDF presentation level, and how to overcome context imprecisions and incompleteness when selecting the proper context description at runtime. The authors answer their two-fold research question with PRISSMA, a context-aware presentation layer for Linked Data. PRISSMA extends the Fresnel vocabulary with the notion of mobile context. Besides, it includes an algorithm that determines whether the sensed context is compatible with some context declarations. The algorithm finds optimal error-tolerant subgraph isomorphisms between RDF graphs using the notion of graph edit distance and is sublinear in the number of context declarations in the system.

Suggested Citation

  • Luca Costabello & Fabien Gandon, 2014. "Context-Aware Presentation of Linked Data on Mobile," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 10(4), pages 45-76, October.
    • Handle: RePEc:igg:jswis0:v:10:y:2014:i:4:p:45-76
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijswis.2014100103
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    Cited by:

    1. Higinio Mora & Jerónimo M Mora-Pascual & Alberto García-García & Pablo Martínez-González, 2016. "Computational Analysis of Distance Operators for the Iterative Closest Point Algorithm," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-19, October.

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