A priori ontology modularisation in ill-defined domains

  • Authors:
  • Dhavalkumar Thakker;Vania Dimitrova;Lydia Lau;Ronald Denaux;Stan Karanasios;Fan Yang-Turner

  • Affiliations:
  • University of Leeds, Leeds, UK;University of Leeds, Leeds, UK;University of Leeds, Leeds, UK;University of Leeds, Leeds, UK;Leeds University Business School, Leeds, UK;University of Leeds, Leeds, UK

  • Venue:
  • Proceedings of the 7th International Conference on Semantic Systems
  • Year:
  • 2011

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Abstract

Modularisation is crucial to create re-usable and manageable ontologies. The modularisation is usually performed a posteriori, i.e. after the ontology is developed, and has been applied mainly to well-structured domains. With the increasing popularity of social media, Semantic web technologies are moving towards ill-defined domains that involve cognitively-complex processes carried out by humans and require tacit knowledge (e.g. decision-making, sensemaking, interpersonal communication, negotiating, motivating). In such domains, a priori modularisation can enable ontology creation to handle the complexity and the dynamic nature of knowledge. This paper outlines an a priori modularisation methodology for multi-layered development of ontologies in ill-defined domains, including an upper ontology layer, high-level and reusable domain layers, and case-specific layers. The methodology is being applied in several use cases in two EU projects -- Dicode and ImREAL.