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Open AccessProceedings Article

Ontology Design with Formal Concept Analysis.

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TLDR
This paper presents a method that is based on formal concept analysis, which is a theory of data analysis which identifies conceptual structures among data sets which leads to an ontology that is suitable for knowledge exchange.
Abstract
Ontologies, often defined as an explicit specification of conceptualization, are necessary for knowledge representation and knowledge exchange. Usually this means that ontology describes concepts and relations that exist in a domain. To enable knowledge exchange, it is necessary to describe these concepts and relations in a better way than just ordering them in taxonomy. However, ontology design usually starts and stops with designing taxonomies. We present a method that is based on formal concept analysis, which is a theory of data analysis which identifies conceptual structures among data sets. This method allows for discovering necessity for new concepts and relations in an ontology, which leads to an ontology that has these entities described in a way suitable for knowledge exchange.

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References
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Journal ArticleDOI

A translation approach to portable ontology specifications

TL;DR: This paper describes a mechanism for defining ontologies that are portable over representation systems, basing Ontolingua itself on an ontology of domain-independent, representational idioms.
Book

Formal Concept Analysis: Mathematical Foundations

TL;DR: This is the first textbook on formal concept analysis that gives a systematic presentation of the mathematical foundations and their relation to applications in computer science, especially in data analysis and knowledge processing.
Journal ArticleDOI

Formal Concept Analysis

TL;DR: FCA explicitly formalises extension and intension of a concept, their mutual relationships, and the fact that increasing intent implies decreasing extent and vice versa, and allows to derive a concept hierarchy from a given dataset.
Journal Article

Formal concept analysis

TL;DR: In the present paper the authors show in detail howormal Concept Analysis can be applied to the study of results obtained in clinical practice.