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2007 Volume 22
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RESEARCH ARTICLE   Open Access    

Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain

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  • Abstract: Building a probabilistic network for a real-life domain of application is a hard and time-consuming process, which is generally performed with the help of domain experts. As the scope and, hence, the size and complexity of networks are increasing, the need for proper management of the elicited domain knowledge becomes apparent. To study the usefulness of ontologies for this purpose, we constructed an ontology for the domain of oesophageal cancer, based on a real-life probabilistic network for the staging of cancer of the oesophagus and the knowledge elicited for its construction. In this paper, we describe the various components of our ontology and outline the benefits of using ontologies in engineering probabilistic networks.
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  • Cite this article

    EVELINE M. HELSPER, LINDA C. VAN DER GAAG. 2007. Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. The Knowledge Engineering Review. 22:38 doi: 10.1017/S0269888907001038
    EVELINE M. HELSPER, LINDA C. VAN DER GAAG. 2007. Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. The Knowledge Engineering Review. 22:38 doi: 10.1017/S0269888907001038
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RESEARCH ARTICLE   Open Access    

Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain

  • Published online: 01 March 2007
The Knowledge Engineering Review  22,  Article number: 10.1017/S0269888907001038  (2007)  |  Cite this article

Abstract: Abstract: Building a probabilistic network for a real-life domain of application is a hard and time-consuming process, which is generally performed with the help of domain experts. As the scope and, hence, the size and complexity of networks are increasing, the need for proper management of the elicited domain knowledge becomes apparent. To study the usefulness of ontologies for this purpose, we constructed an ontology for the domain of oesophageal cancer, based on a real-life probabilistic network for the staging of cancer of the oesophagus and the knowledge elicited for its construction. In this paper, we describe the various components of our ontology and outline the benefits of using ontologies in engineering probabilistic networks.

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    Cite this article
    EVELINE M. HELSPER, LINDA C. VAN DER GAAG. 2007. Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. The Knowledge Engineering Review. 22:38 doi: 10.1017/S0269888907001038
    EVELINE M. HELSPER, LINDA C. VAN DER GAAG. 2007. Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. The Knowledge Engineering Review. 22:38 doi: 10.1017/S0269888907001038
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