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Here is discussed how to construct domain on-tologies with both taxonomic and non-taxonomic conceptual relationships, exploiting a machine-readable dictionary (MRD) and domain-specific texts. The taxonomic relationships come from WordNet in the interaction with a domain expert , using the following two strategies: match result analysis and trimmed result(More)
It is needed for evidence-based medicine to support a medical expert in discovering clinically useful knowledge with data mining techniques. However, the real data on medical test results are severely intractable since they are sequential, large-scale, and ill-defined with many attributes and missing values. This paper discusses how pre-processing should be(More)
In this paper, we describe how to exploit a machine-readable dictionary (MRD) and domain-specific text corpus in supporting the construction of domain on-tologies that specify taxonomic and non-taxonomic relationships among given domain concepts. A) In building taxonomic relationships (hierarchically structure) of domain concepts, some hierarchically(More)
OBJECTIVE We discuss the usefulness of rule interestingness measures for medical KDD through experiments using clinical datasets, and, based on the outcomes of these experiments, also consider how to utilize these measures in postprocessing. METHODS AND MATERIALS We first conducted an experiment to compare the evaluation results derived from a total of 40(More)
Coordinating Web Services dynamically revolutionizes how each business collaborates for its performance improvement, so that many IT researchers are recently focusing on them. In order to make the coordination really effective in business, we have to take viewpoints from business models. Though several specifications and approaches were proposed for the(More)
WioNA (Wikipedia Ontology NAo) is proposed to build much better HRI by integrating four elements: Japanese speech interface, semantic interpretation, Japanese Wikipedia Ontology and Robot Action Ontology. WioNA is implemented on a humanoid robot "Nao". In WioNA, we developed two ontologies: Japanese Wikipedia Ontology and Robot Action Ontology. Japanese(More)
In this paper, we present a novel rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. Post-processing of mined results is one of the key issues to make a data mining process successfully. However, it is difficult for human experts to evaluate many thousands of rules from a large dataset(More)