@conference {ICBO_2018_14, title = {ICBO_2018_14: Does the Foundational Model of Anatomy ontology provide a knowledgebase for learning and assessment in anatomy education?}, booktitle = {International Conference on Biomedical Ontology (ICBO 2018)}, series = {Proceedings of the International Conference on Biological Ontology (2018)}, year = {2018}, month = {08/06/2018}, publisher = {International Conference on Biological Ontology}, organization = {International Conference on Biological Ontology}, abstract = {Throughout the development of the Foundational Model of Anatomy (FMA) ontology, one of the use cases has been anatomy education. In this work, we examine which types of knowledge taught to anatomy students can be supported by the FMA knowledge base. We first categorize types of anatomical knowledge, then express these patterns in the form {\textquotedblleft}Given ____, state ____{\textquotedblright}. Each of the 33 patterns was evaluated for whether this type of knowledge is compatible with the modeling and scope of the FMA.}, keywords = {anatomy, knowledge representation, medical education, nursing education, Ontology}, url = {http://icbo2018.cgrb.oregonstate.edu/}, author = {Melissa Clarkson and Mark Whipple} } @conference {ICBO_2018_54, title = {ICBO_2018_54: Developing graphic libraries to accompany the Craniofacial Human Ontology}, booktitle = {International Conference on Biomedical Ontology (ICBO 2018)}, series = {Proceedings of the International Conference on Biological Ontology (2018)}, year = {2018}, month = {08/06/2018}, publisher = {International Conference on Biological Ontology}, organization = {International Conference on Biological Ontology}, abstract = {

I describe the development of two graphic libraries to accompany parts of the Craniofacial Human Ontology. One library depicts phenotypes of cleft lip. The other represents development of the human head between 4 and 8 weeks of gestation.

}, keywords = {anatomy, graphics, Ontology, visual representation}, url = {http://ceur-ws.org/Vol-2285/ICBO_2018_paper_54.pdf }, author = {Melissa Clarkson} } @conference {ICBO_2018_68, title = {ICBO_2018_68: The Planteome Project- Reference Ontologies for Data Integration}, booktitle = {International Conference on Biomedical Ontology (ICBO 2018)}, series = {Proceedings of the International Conference on Biological Ontology (2018)}, year = {2018}, month = {08/06/2018}, publisher = {International Conference on Biological Ontology}, organization = {International Conference on Biological Ontology}, abstract = {The Planteome project is a centralized online plant informatics portal which provides semantic integration of widely diverse datasets with the goal of plant improvement. Traditional plant breeding methods for crop improvement may be combined with next-generation analysis methods and automated scoring of traits and phenotypes to develop improved varieties. The Planteome project (www.planteome.org) develops and hosts a suite of reference ontologies for plants associated with a growing corpus of genomics data. Data annotations linking phenotypes and germplasm to genomics resources are achieved by data transformation and mapping species-specific controlled vocabularies to the reference ontologies. Analysis and annotation tools are being developed to facilitate studies of plant traits, phenotypes, diseases, gene function and expression and genetic diversity data across a wide range of plant species. The project database and the online resources provide researchers tools to search and browse and access remotely via APIs for semantic integration in annotation tools and data repositories providing resources for plant biology, breeding, genomics and genetics.}, keywords = {anatomy, data annotation, development, Ontology, plants, traits}, url = {http://icbo2018.cgrb.oregonstate.edu/}, author = {Laurel Cooper and Pankaj Jaiswal} }