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A data-driven approach to constructing an ontological concept hierarchy based on the formal concept analysis

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dc.contributor.authorHwang, Suk-Hyung-
dc.contributor.authorKim, Hong-Gee-
dc.contributor.authorKim, Myeng-Ki-
dc.contributor.authorChoi, Sung-Hee-
dc.contributor.authorYang, Hae-Sool-
dc.date.accessioned2010-07-12T04:34:00Z-
dc.date.available2010-07-12T04:34:00Z-
dc.date.issued2006-
dc.identifier.citationLecture notes in computer science 3983, pp.937-946en
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/10371/68587-
dc.description.abstractAn ontology is a formal, explicit specification of a domain.
An important benefit of using an ontology during software development
is that it enables the developer to reuse and share application domain
knowledge using a common vocabulary across heterogeneous software
platforms and programming languages. One of the most important components
of ontologies is concept hierarchy, which models the information
on the domain of interest in terms of concepts and subsumption
relationships between them. However, it is extremely difficult and timeconsuming
for human experts to discover concepts and construct concept
hierarchies from the domain.
In this paper we introduce Formal Concept Analysis(FCA) as the
basis for a practical and well founded methodological approach to the
construction of concept hierarchy. We present a semi-automatic tool,
FCAwizard, to support the concept hierarchy construction. Based on
the FCAwizard, we are now exploring a data-driven approach to construct
medical ontologies from some medical data contained in clinical
documents. We discuss the basic ideas of our work and its current state
as well as the problems encountered and future directions.
en
dc.description.sponsorshipThis research was supported by a grant of the Interoperable EHR Research
and Development Center(A050909), Ministry of Health & Welfare, Republic of
Korea.
en
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.titleA data-driven approach to constructing an ontological concept hierarchy based on the formal concept analysisen
dc.typeArticleen
dc.contributor.AlternativeAuthor황석형-
dc.contributor.AlternativeAuthor김홍기-
dc.contributor.AlternativeAuthor김명기-
dc.contributor.AlternativeAuthor최성희-
dc.contributor.AlternativeAuthor양해술-
dc.identifier.doi10.1007/11751632-
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