OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationOregon State Universityen
cg.contributor.affiliationBioversity Internationalen
cg.contributor.crpBig Data
cg.creator.identifierMarie-Angélique Laporte: 0000-0002-8461-9745en
cg.identifier.urlhttp://ceur-ws.org/Vol-2285/ICBO_2018_paper_25.pdfen
cg.issn1613-0073en
cg.reviewStatusPeer Reviewen
cg.subject.bioversityONTOLOGYen
cg.subject.bioversityDATA PROCESSINGen
cg.subject.bioversityPLANT PATHOLOGYen
dc.contributor.authorMeier A.en
dc.contributor.authorLaporte, Marie-Angéliqueen
dc.contributor.authorElser J.en
dc.contributor.authorCooper L.en
dc.contributor.authorPreece, J.en
dc.contributor.authorJaiswal, P.en
dc.contributor.authorPoolen, J.en
dc.date.accessioned2019-04-16T13:30:23Zen
dc.date.available2019-04-16T13:30:23Zen
dc.identifier.urihttps://hdl.handle.net/10568/100810
dc.titleOOPS: The Ontology of Plant Stress: A semi-automated standardization methodologyen
dcterms.abstractPlant stress traits are important breeding targets for all crop species. Massive amounts of research dollars are spent generating data to combat plant diseases and environmental stress. Often this data is used to achieve a single goal, and then left in a repository to never be used again. As a scientific community, we should be striving to make all publicly funded data reusable, and interoperable. This goal is achievable only through careful annotation using universal data and metadata standards. One such standard is the use of a standardized vocabulary, or ontology. This paper presents a semi-automated method to define and label plant stresses using a combination of web scraping and ontology design patterns. Standardizing the definitions and linking plant stress with established hierarchies leverages previous work of developed knowledge bases such as taxonomic classifications and other ontologies.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.bibliographicCitationMeier A.; Laporte M-A.; Elser J.; Cooper L.; Preece J.; Jaiswal P.; Poolen J. (2018) OOPS: The Ontology of Plant Stress: A semi-automated standardization methodology. In: Jaiswal P.; Cooper, L.; Haendel, M.A.; Mungall, C.J. (eds.) International Conference on Biological Ontology (ICBO 2018), Proceedings of the 9th International Conference on Biological Ontology, Corvallis, Oregon, USA, August 7-10, 2018, 4 p. ISSN: 1613-0073en
dcterms.extent4 p.en
dcterms.issued2018en
dcterms.languageen
dcterms.licenseOther
dcterms.subjectopen dataen
dcterms.subjectontologyen
dcterms.subjectplant pathologyen
dcterms.subjectnutrient deficienciesen
dcterms.subjectstandard vocabularyen
dcterms.subjectautomationen
dcterms.subjectdata processingen
dcterms.subjectcropsen
dcterms.subjectstressen
dcterms.typeConference Paper

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