Granularity, scale and collectivity: when size does and does not matter
Journal of Biomedical Informatics - Special issue: Biomedical ontologies
A theory of granular parthood based on qualitative cardinality and size measures
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
Using abstractions to facilitate management of large ORM models and ontologies
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Open-domain anatomical entity mention detection
ACL '12 Proceedings of the Workshop on Detecting Structure in Scholarly Discourse
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An explicit formal-ontological representation of entities existing at multiple levels of granularity is an urgent requirement for biomedical information processing. We discuss some fundamental principles which can form a basis for such a representation. We also comment on some of the implicit treatments of granularity in currently available ontologies and terminologies (GO, FMA, SNOMED CT). Copyright © 2004 John Wiley & Sons, Ltd.