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

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Authors
Hwang, Suk-Hyung; Kim, Hong-Gee; Kim, Myeng-Ki; Choi, Sung-Hee; Yang, Hae-Sool
Issue Date
2006
Publisher
Springer Verlag
Citation
Lecture notes in computer science 3983, pp.937-946
Abstract
An 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.
ISSN
0302-9743
Language
English
URI
http://hdl.handle.net/10371/68587
DOI
https://doi.org/10.1007/11751632
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College of Dentistry/School of Dentistry (치과대학/치의학대학원)Dept. of Dentistry (치의학과)Journal Papers (저널논문_치의학과)
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