KEMM: A Knowledge Engineering Methodology in the Medical Domain

Pinar Wennerberg, Sonja Zillner, Manuel Möller, Paul Buitelaar, Michael Sintek

In: Carola Eschenbach , Michael Gruninger (Hrsg.). 5th International Conference on Formal Ontology in Information Systems. International Conference on Formal Ontology in Information Systems (FOIS-08) October 31-November 3 Saarbrücken Germany Frontiers in Artificial Intelligence and Applications 183 IOS Press Amsterdam 2008.


Medical research and clinical practice deal with complex and heterogeneous data. This requires a systematic approach for semantic integration of information to support clinicians in their daily tasks. As the clinicians speak and think in a very different language than that of the computer scientists, existing knowledge engineering approaches based on classical expert interviews fall short. Moreover, as human health is a very sensitive subject, the reuse of standardized hence reliable ontologies as medical knowledge resources becomes a key requirement. In this paper, we first discuss the specific medical knowledge engineering requirements, we identified along a semantic medical image and text retrieval use case. Then we report on ongoing work towards establishing a corresponding methodology based on ontology reuse that is derived from the requirements. The methodology, which will be discussed in detail, relies on a novel technique for semi-automatically generating a set of potential user queries to support the knowledge elicitation process.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence