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OMRSE -- The Ontology for Modeling and Representation of Social Entities

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This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0

The Ontology for Modeling and Representation of Social Entities (OMRSE) is an OBO Foundry ontology that represents the various entities that arise from human social interactions, such as social acts, social roles, social groups, and organizations. For more information on the social entities represented in OMRSE, please visit our wiki page or list of publications. OMRSE is designed to be a mid-level ontology that bridges the gap between BFO, which it reuses for its top-level hierarchy, and more specific domain or application ontologies. For this reason, we are always open to working with ontology developers who want to build interoperability between their projects and OMRSE. A list of projects we currently collaborate with or that reuse OMRSE classes is listed below.

OMRSE Google Group: http://groups.google.com/group/omrse-discuss Click the "Apply for Membership" link to join.

Monthly meetings occur on the first Wednesday of each month at 11:00 ET / 10:00 CT / 8:00 PT and last one hour

Agenda: https://docs.google.com/document/d/1UUD-53SaioJO7btrs8ie3yjFYJIF6HV3RUU3A7A_w2Y/edit#

Previously known as the Ontology of Medically Related Social Entities

Projects and ontologies that use OMRSE

Apollo Structured Vocabulary

OBIB: Ontology for Biobanking

OccO: Occupation Ontology

OntoNeo: Obstetric and Neonatal Ontology

Oral Health and Disease Ontology

OOSTT: Ontology of Organizational Structures of Trauma centers and Trauma systems

Preparing a new OMRSE release

See documentation.

List of Publications

Dowland SC, Smith B, Diller MA, Landgrebe J, Hogan WR. Ontology of language, with applications to demographic data. Applied Ontology. 2023;18:239-62. http://doi.org/10.3233/AO-230049

Diller M, Hogan WR. An Ontological Representation of Money with a View Toward Economic Determinants of Health. Proceedings of the International Conference on Biological and Biomedical Ontology (ICBO) 2022;1613:0073. Link: https://icbo-conference.github.io/icbo2022/papers/ICBO-2022_paper_8682.pdf

Dowland SC, Hogan WR. Using Ontologies to Enhance Data on Intimate Partner Violence. Proceedings of the International Conference on Biological and Biomedical Ontology (ICBO). Link: https://icbo-conference.github.io/icbo2022/papers/ICBO-2022_paper_6874.pdf

Hicks A, Hanna J, Welch D, Brochhausen M, Hogan WR. The ontology of medically related social entities: recent developments. Journal of Biomedical Semantics. 2016 Dec;7(1):1-4. Link: https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-016-0087-8

Ceusters W, Hogan WR. An ontological analysis of diagnostic assertions in electronic healthcare records. Homo. 2015;1:2. Link: http://icbo2015.fc.ul.pt/regular2.pdf

Hogan WR, Garimalla S, Tariq SA. Representing the Reality Underlying Demographic Data. InICBO 2011 Jul 26. Link: http://ceur-ws.org/Vol-833/paper20.pdf