Context in Ontology for Knowledge Representation

  • Asmaa Chebba
  • Thouraya Bouabana-Tebibel
  • Stuart H. Rubin
Conference paper

DOI: 10.1007/978-3-319-17996-4_28

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 358)
Cite this paper as:
Chebba A., Bouabana-Tebibel T., Rubin S.H. (2015) Context in Ontology for Knowledge Representation. In: Le Thi H., Nguyen N., Do T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 358. Springer, Cham

Abstract

The ontology represents a rich model for knowledge representation that is gaining popularity over years. Its expressivity and computability promote its use in a large scale of applications. In this paper, we first present a meta-model that describes the ontology basic elements and the relationships among them. A new element is introduced to the ontology model called “Context”. This new conceptual element improves the representation quality and allows for the modeling of more complex knowledge efficiently. The context is next integrated to the proposed meta-model.

Keywords

ontology meta-model context knowledge representation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Asmaa Chebba
    • 1
  • Thouraya Bouabana-Tebibel
    • 1
  • Stuart H. Rubin
    • 2
  1. 1.LCSI LaboratoryÉcole Nationale Supérieure d’InformatiqueAlgiersAlgeria
  2. 2.SSC-PAC 71730San DiegoUSA

Personalised recommendations