Ontology Usability Assessment Model for Context Information Process

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 214)


The existing context-aware system just can decide the simple state, so that can’t satisfied with the needs of person. For supplying the more complex and high service to context-aware environment progress many research about ontology mechanism in order to represent the context information. Because ontology implies that knowledge to determine the specific situation and it takes a lot of time on the reasoning, performance of inference and accurate representation of ontology. Therefore ontology usability assessment is important to ensure the context information process for context-aware system. So, this study present the model that assess the usability of ontology and suggest the ontology building method to context-aware service which is combine an usability assessment model with the previous ontology building method. So, we find a way to increase the ontology usability in various applications.


Ontology usability assessment Context-information Service decision 



This work was supported by the IT R&D Program funded by Korea Communications Commission (KCC)/Korea Communications Agency (10913-05005, Research and development of composite context based adaptive service path configuration technology).


  1. 1.
    Vrandecic, D.: Ontology evaluation. In: Staab S., Studer R. (eds.) Handbook on Ontologies, 2nd edn. International Handbooks on Information Systems, Part II, pp. 293–314. Springer, Berlin (2009)Google Scholar
  2. 2.
    Resnik, P.: Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language. J. Artif. Intell. Res. 11, 95–130 (1999)MATHGoogle Scholar
  3. 3.
    Gomez-Perez, A.: Ontology evaluation. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies in Information system, 1st edn. International Handbooks on Information Systems, Chap. 13, pp. 251–274. Springer, Berlin (2004)Google Scholar
  4. 4.
    Obrst, L., Ceuster, W., Mani, I., Ray S., Smith, B.: The evaluation of ontologies, In: Baker, C.J.O., Cheung, K.-H. (eds.) Revolutionzing Knowledge Discovery in the Life Sciences, Chap. 7, pp. 139–158. Springer, Berlin (2007)Google Scholar
  5. 5.
    Gangemi, A., Catenacci, C., Ciaramita, M., Lehmann, J.: Ontology evaluation and validation: An integrated formal model for the quality diagnostic task. Technical report, Laboratory of Applied Ontologies: Rome, Italy (2005)
  6. 6.
    Thomas, R.: Gruber.: Towards principles for the design of ontologies used for knowledge sharing. Int. J. Hum. Comput. Stud. 43(5/6), 907–928 (1995)Google Scholar
  7. 7.
    Gruninger, M., Fox, M.S.: Methodology for the design and evaluation of ontologies. In: IJCAI95 Workshop on Basic Ontological Issues in Knowledge Sharing, Montreal (1995)Google Scholar
  8. 8.
    Biegel, G., Cahill, V.: A framework for developing mobile, context-aware application. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications (PERCOM’04) 2004Google Scholar
  9. 9.
    Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. Lect. Notes Comput. Sci. 2414/2002, 79–117 (2002). doi:10.1007/3-540-45866-2_14Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Future Internet Service Research TeamElectronics and Telecommunications Research InstituteYuseong-gu, DaejeonKorea

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