Abstract
Context-awareness plays a vital role in pervasive computing. Context-aware applications relay on context information in order to provide appropriate and consistent adaptive services by integrating sensor data from a diverse range of sources with varying degree of accuracy, precision, dynamism, and are failure prone. Therefore, context information are inherently imperfect, they exhibit various types of uncertainties: incomplete, imprecise. vague, inconsistency, and/or temporal. Therefore context-aware applications must be supported by an adequate context information modeling and reasoning formalism. © 2012 Springer-Verlag.
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CITATION STYLE
Nyamwihula, W., & Bagile, B. (2012). OWL 2: Towards support for context uncertainty, fuzziness and temporal reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7567 LNCS, pp. 51–53). https://doi.org/10.1007/978-3-642-33618-8_7
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