Literature DB >> 16442850

Biomedical ontologies: what part-of is and isn't.

Stefan Schulz1, Anand Kumar, Thomas Bittner.   

Abstract

Mereological relations such as part-of and its inverse has-part are fundamental to the description of the structure of living organisms. Whereas classical mereology focuses on individual entities, mereological relations in biomedical ontologies are generally asserted between classes of individuals. In general, this practice leaves some basic issues unanswered: type constraints of mereological relations, e.g., concerning artifacts and biological entities, the relation between parthood and time, inferred parts and wholes as well as a delimitation of parthood against spatial inclusion. Furthermore, mereological relations can be asserted not only between physical objects but also between biological processes and medical procedures. We analyze these ambiguities and make suggestions for a standardization of mereological relations in biomedical ontologies.

Mesh:

Year:  2005        PMID: 16442850     DOI: 10.1016/j.jbi.2005.11.003

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  10 in total

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2.  NanoParticle Ontology for cancer nanotechnology research.

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3.  Grains, components and mixtures in biomedical ontologies.

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5.  Levels and building blocks-toward a domain granularity framework for the life sciences.

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6.  Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research.

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7.  The ontology of biological taxa.

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Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

8.  BioGateway: a semantic systems biology tool for the life sciences.

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Journal:  BMC Bioinformatics       Date:  2009-10-01       Impact factor: 3.169

9.  Spatial location and its relevance for terminological inferences in bio-ontologies.

Authors:  Stefan Schulz; Kornél Markó; Udo Hahn
Journal:  BMC Bioinformatics       Date:  2007-04-20       Impact factor: 3.169

10.  New challenges for text mining: mapping between text and manually curated pathways.

Authors:  Kanae Oda; Jin-Dong Kim; Tomoko Ohta; Daisuke Okanohara; Takuya Matsuzaki; Yuka Tateisi; Jun'ichi Tsujii
Journal:  BMC Bioinformatics       Date:  2008-04-11       Impact factor: 3.169

  10 in total

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