Advertisement

Onto-DIY: A Flexible and Idea Inspiring Ontology-Based Do-It-Yourself Architecture for Managing Data Semantics and Semantic Data

  • Yan Tang
  • Christophe Debruyne
  • Johan Criel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6427)

Abstract

The Do-It-Yourself (DIY) culture has been continuously articulated since mid-1920s. The goal of DIY has been gradually shifted from the solution of the “time-rich and money-poor” situation into the confirmation of personal creativities and the needs of outsourcing and social contact. This paper addresses the design of a DIY environment for managing data semantics from different intelligent components in the ITEA Do-It-Yourself Smart Experiences project (DIY-SE). In particular, it is a flexible and idea inspiring ontology-based DIY architecture named Onto-DIY. Including the DIY aspect, Onto-DIY also takes socio and community aspects into account.

Keywords

Ontology Engineering Do-It-Yourself Ontology Ambient Computing Semantic Decision Table 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Brewster, C., Wilks, Y.: Ontologies, taxonomies, thesauri learning from texts. In: The Keyword Project: Unlocking Content through Computational Linguistics, Kings College, London, February 5-6 (2004)Google Scholar
  2. 2.
    Chen, H., Fenin, T., Joshi, A.: Semantic Web in Context Broker Architecture. Paper Presented at the Second IEEE International Conference on Pervasive Computing and Communications (Percom 2004), Washington, DC (2004)Google Scholar
  3. 3.
    de Moor, A., De Leenheer, P., Meersman, R.: DOGMA-MESS: A Meaning Evolution Support System for Interorganizational Ontology Engineering. In: Schärfe, H., Hitzler, P., Øhrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, pp. 189–203. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    Dey, A.K.: Providing architectural support for building context aware applications. Doctoral dissertation, College of Computing, Georgia Institute of Technology (2000)Google Scholar
  5. 5.
    Fellbaum, C.: WordNet: an electronic lexical database (Language, Speech, and Communication). MIT Press, Cambridge (1998) ISBN-10:026206197X, ISBN-13: 978-0262061971zbMATHGoogle Scholar
  6. 6.
    Halpin, T.A.: Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design. Morgan Kaufman Publishers, San Francisco (2001)Google Scholar
  7. 7.
    Spyns, P., Meersman, R., Jarrar, M.: Data Modeling versus Ontology Engineering. SIGMOD Record: Special Issue on Semantic Web and Data Management 31(4), 12–17 (2002)CrossRefGoogle Scholar
  8. 8.
    Strobbe, M., Hollez, J., De Jans, G., Van Laere, O., Nelis, J., De Turck, F., Dhoedt, B., Demeester, P., Janssens, N., Pollet, T.: Design of CASP: An open enabling platform for context aware office and city services. Paper Presented at the 4th International Workshop on Managing Ubiquitous Communications and Services, Munich, Germany (2007)Google Scholar
  9. 9.
    Tang, Y., Meersman, R.: On constructing semantic decision tables. In: Wagner, R., Revell, N., Pernul, G. (eds.) DEXA 2007. LNCS, vol. 4653, pp. 34–44. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Trog, D., Tang, Y., Meersman, R.: Towards Ontological Commitments with Ω- RIDL Markup Language. In: Paschke, A., Biletskiy, Y. (eds.) RuleML 2007. LNCS, vol. 4824, pp. 92–106. Springer, Heidelberg (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yan Tang
    • 1
  • Christophe Debruyne
    • 1
  • Johan Criel
    • 2
  1. 1.Semantic Technology and Application Laboratory, 10G-731, Department of Computer Science, Faculty of Science and BioengineeringVrije Universiteit BrusselsIxelles, BrusselsBelgium
  2. 2.Alcatel-Lucent Bell Labs (Belgium)AntwerpenBelgium

Personalised recommendations