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Context Recognition: Towards Automatic Query Generation

  • Marjan AlirezaieEmail author
  • Federico Pecora
  • Amy Loutfi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9425)

Abstract

In this paper, we present an ontology-based approach in designing knowledge model for context recognition (CR) systems. The main focus in this paper is on the use of an ontology to facilitate the generation of user-based queries to the CR system. By leveraging from the ontology, users need not know about sensor details and the structure of the ontology in expressing queries related to events of interest. To validate the approach and demonstrate the flexibility of the ontology for query generation, the ontology has been integrated in two separate application domains. The first domain considers a health care system implemented for the GiraffPlus project where the query generation process is automated to request information about activities of daily living. The second application uses the same ontology for an air quality monitoring application in the home. Since these two systems are independently developed for different purposes, the ease of applying the ontology upon them can be considered as a credit for its generality.

Keywords

Query generation Context recognition OWL-DL ontology 

Notes

Acknowledgments

This work and the authors are supported by the distributed environment Ecare@Home funded by the Swedish Knowledge Foundation 2015–2019.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Applied Autonomous Sensor Systems, Department of TechnologyÖrebro UniversityÖrebroSweden

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