@conference {ICBO_2018_46,
	title = {ICBO_2018_46: Standardizing Ontology Workflows Using ROBOT},
	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 = {<p>Building and maintaining ontologies can be challenging due to the need to automate a number of common tasks, such as running quality control checks, automatic classification using reasoners, generating standard reports, extracting application-specific subsets, and managing ontology dependencies. These workflows are in some aspects analogous to workflows used in software engineering as part of the normal product lifecycle. However, in contrast to software development, there is a lack of easy to use tooling to support the execution of these workflows for ontology developers</p>
},
	keywords = {automation, import management, ontology development, ontology release, OWL, quality control, reasoning, workflows},
	url = {http://ceur-ws.org/Vol-2285/ICBO_2018_paper_46.pdf },
	author = {Rebecca Tauber and James Balhoff and Eric Douglass and Chris Mungall and James A. Overton}
}
@conference {ICBO_2018_62,
	title = {ICBO_2018_62: Reasoning over anatomical homology in the Phenoscape KB},
	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 = {<p>The Phenoscape project (www.phenoscape.org) has semantically annotated the features of species from the comparative literature, enabling links between candidate genes and novel species phenotypes for which they might be responsible. To enable discovery of homologous phenotypes and associated genes, we incorporated machine-reasoning with knowledge about homology into the Phenoscape Knowledgebase (KB). We show that with homology reasoning enabled, the results of database queries can be expanded to incorporate shared evolutionary history. We discuss the challenges in developing a logical model of homology assertions and implications for database queries, as well as theoretical entailment and practical performance tradeoffs between alternative models.</p>
},
	keywords = {anatomy ontology, evolution, homology, phenotypes, reasoning},
	url = {http://ceur-ws.org/Vol-2285/ICBO_2018_paper_62.pdf },
	author = {Paula Mabee and James Balhoff and Wasila Dahdul and Hilmar Lapp and Christopher Mungall and Todd Vision}
}
