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Hybrid reasoning in the CARE middleware for context awareness

Published: 01 May 2009 Publication History

Abstract

The Context Aggregation and REasoning (CARE) middleware aims at supporting context-aware adaptation of internet services in a mobile computing environment. Context awareness requires the acquisition, representation and processing of information that goes beyond raw context data – like device features, network status and user location – to include semantically rich data such as the current activity and interests of users. Representing and reasoning with the latter class of data require the use of ontologies and ontological reasoning. It is well known that reasoning with ontologies poses significant performance issues. The CARE hybrid reasoning mechanism is based on a loose interaction between ontological reasoning and efficient reasoning in a restricted logic programming language. In this paper we illustrate the hybrid reasoning approach adopted by CARE and report the extensive experimental results on ontology-based context reasoning that support our approach.

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  1. Hybrid reasoning in the CARE middleware for context awareness

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      Published In

      cover image International Journal of Web Engineering and Technology
      International Journal of Web Engineering and Technology  Volume 5, Issue 1
      May 2009
      129 pages
      ISSN:1476-1289
      EISSN:1741-9212
      Issue’s Table of Contents

      Publisher

      Inderscience Publishers

      Geneva 15, Switzerland

      Publication History

      Published: 01 May 2009

      Author Tags

      1. CARE middleware
      2. adaptation
      3. context aggregation
      4. context awareness
      5. hybrid reasoning
      6. internet services
      7. logic programming
      8. m-computing
      9. mobile computing
      10. ontological reasoning
      11. ubiquitous computing
      12. web services

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      • (2023)TAOProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108967:3(1-32)Online publication date: 27-Sep-2023
      • (2023)Ontology-based hybrid commonsense reasoning framework for handling context abnormalities in uncertain and partially observable environmentsInformation Sciences: an International Journal10.1016/j.ins.2023.02.078631:C(468-486)Online publication date: 1-Jun-2023
      • (2019)State of the art in hybrid strategies for context reasoningInformation and Software Technology10.1016/j.infsof.2019.01.010111:C(122-130)Online publication date: 1-Jul-2019
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