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Expressive Context Modeling with Description Logics

  • Conference paper
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Knowledge Graphs and Semantic Web (KGSWC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1029))

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Abstract

Modeling and verification of context-aware systems have been proven to be a challenging task mainly because expressive modeling implies, in most cases, expensive verification algorithms. On the other side, description logics have been successfully applied as a modeling and verification framework in many settings, such as in the semantic Web and bioinformatics, just to mention some. The main factor for this success is the delicate balance between expressiveness and computational cost of the corresponding algorithms in description logics. In the current work, we propose the use of an expressive description logics to model the consistency of context-aware systems. We show this expressive modeling language is capable to succinctly express complex properties, such as temporal ones.

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Acknowledgment

This work was partially developed under the support of the National Council of Science and Technology (CONACYT).

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Correspondence to Rolando Ramírez-Rueda .

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Ramírez-Rueda, R., Bárcenas, E., Mezura-Godoy, C., Molero-Castillo, G. (2019). Expressive Context Modeling with Description Logics. In: Villazón-Terrazas, B., Hidalgo-Delgado, Y. (eds) Knowledge Graphs and Semantic Web. KGSWC 2019. Communications in Computer and Information Science, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-21395-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-21395-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21394-7

  • Online ISBN: 978-3-030-21395-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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