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Containment relations in anatomical ontologies.

Authors: Maureen Donnelly;

Containment relations in anatomical ontologies.

Abstract

In addition to parthood relations, containment relations are needed for describing the locations of anatomical individuals. My lungs are contained, but not part of, in my thoracic cavity. Urine is contained in, but not part of, the cavity of my urinary bladder. Ontologies such as the FMA and GALEN use containment relations extensively. However, the FMA's and GALEN's usage of containment relations differs significantly. To provide anatomical ontologies with clear semantics and consistent reasoning strategies, it is necessary to precisely determine the logical properties of their containment relations. In this paper, I define different versions of containment relations in a formal theory and distinguish important logical properties of these relations. The formal containment relations are used to partially analyze and highlight differences between the FMA's and GALEN's containment relations.

Related Organizations
Keywords

Vocabulary, Controlled, Artificial Intelligence, Information Theory, Humans, Anatomy, Semantics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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