Paper Info
Title
A data-driven approach to constructing an ontological concept hierarchy based on the formal concept analysis
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 time-consuming 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.
Year
DOI
Venue
2006
10.1007/11751632_101
ICCSA (4)
Keywords
Field
DocType
concept hierarchy,methodological approach,concept hierarchy construction,ontological concept hierarchy,formal concept analysis,heterogeneous software platform,data-driven approach,important benefit,share application domain knowledge,medical ontology,medical data,important component,programming language,software development,domain knowledge
Ontology (information science),Ontology,Software engineering,Computer science,Computer network,IDEF5,Artificial intelligence,Application domain,Formal methods,Hierarchy,Formal concept analysis,Software development
Conference
Volume
ISSN
ISBN
3983
0302-9743
3-540-34077-7
Citations 
PageRank 
References 
2
0.40
3
Authors
5
Name
Order
Citations
PageRank
Suk-hyung Hwang1103.91
Hong-Gee Kim222522.83
Myeng-Ki Kim3101.70
Sung-Hee Choi420.40
Hae-Sool Yang5379.67