Derek H. Sleeman

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Ontologies are being applied very successfully in supporting information and knowledge exchange between people and organisations. However, for many reasons, different people and organisations will tend to use different ontologies. Therefore, in order to exchange information and knowledge, either everyone must adopt the same ontology — an unlikely scenario —(More)
By its very nature, artificial intelligence is concerned with investigating topics that are ill-defined and ill-understood. This paper describes two approaches to expanding a good but incomplete theory of a domain. The first uses the domain theory as far as possible and fills in specific gaps in the reasoning process, generalizing the suggested missing(More)
OBJECT Decision tree analysis highlights patient subgroups and critical values in variables assessed. Importantly, the results are visually informative and often present clear clinical interpretation about risk factors faced by patients in these subgroups. The aim of this prospective study was to compare results of logistic regression with those of decision(More)
Reuse of knowledge bases and the semantic web are two promising areas in knowledge technologies. Given some user requirements, finding the suitable ontologies is an important task in both these areas. This paper discusses our work on OntoSearch, a kind of "ontology Google", which can help users find ontologies on the Internet. OntoSearch combines Google Web(More)
This paper presents the STALKER knowledge base refinement system. Like its predecessor KRUST, STALKER proposes many alternative refinements to correct the classification of each wrongly classified example in the training set. However, there are two principal differences between KRUST and STALKER. Firstly, the range of misclassified examples handled by KRUST(More)