Rough subsumption reasoning with rOWL

  • Authors:

  • C. Maria Keet

  • Affiliations:

  • University of KwaZulu-Natal, Durban, South Africa

  • Venue:
  • Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

There are various recent efforts to broaden applications of ontologies with vague knowledge, motivated in particular by applications of bio(medical)-ontologies, as well as to enhance rough set information systems with a knowledge representation layer by giving more attention to the intension of a rough set. This requires not only representation of vague knowledge but, moreover, reasoning over it to make it interesting for both ontology engineering and rough set information systems. We propose a minor extension to OWL 2 DL, called rOWL, and define the novel notions of rough subsumption reasoning and classification for rough concepts and their approximations.