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Taxonomy and the Production of Semantic Phenotypes

dc.contributor.authorYoder, Matthew J.
dc.contributor.authorTwidale, Michael B.
dc.contributor.authorThomer, Andrea K.
dc.contributor.authorVogt, Lars
dc.contributor.authorFranz, Nico M.
dc.contributor.authorGuo, Jinlong
dc.contributor.authorDeans, Andrew R.
dc.contributor.authorBalhoff, James P.
dc.date.accessioned2019-04-25T14:45:38Z
dc.date.available2019-04-25T14:45:38Z
dc.date.issued2018-07
dc.identifier.citationJ, Y. M., B, T. M., K, T. A., Lars, V., M, F. N., Jinlong, G., … P, B. J. (2018). Taxonomy and the Production of Semantic Phenotypes. Studies on the Semantic Web, 53–77. https://doi.org/10.3233/978-1-61499-854-9-53en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/148811
dc.descriptionPreprint of chapter appearing in "Studies on the Semantic Web: Volume 33: Application of Semantic Technology in Biodiversity Science"en_US
dc.description.abstractTaxonomists produce a myriad of phenotypic descriptions. Traditionally these are provided in terse (telegraphic) natural language. As seen in parallel within other fields of biology researchers are exploring ways to formalize parts of the taxonomic process so that aspects of it are more computational in nature. The currently used data formalizations, mechanisms for persisting data, applications, and computing approaches related to the production of semantic descriptions (phenotypes) are reviewed, they, and their adopters are limited in number. In order to move forward we step back and characterize taxonomists with respect to their typical workflow and tendencies. We then use these characteristics as a basis for exploring how we might create software that taxonomists will find intuitive within their cur- rent workflows, providing interface examples as thought experiments.en_US
dc.description.sponsorshipNSF - DBI-1356381en_US
dc.description.sponsorshipNSF 0956049en_US
dc.language.isoen_USen_US
dc.publisherIOS Pressen_US
dc.subjectbiodiversity informaticsen_US
dc.subjecttaxonomyen_US
dc.subjectsemantic weben_US
dc.subjectphenotypesen_US
dc.subjectontologiesen_US
dc.subjectdata curationen_US
dc.subjectuser interface designen_US
dc.titleTaxonomy and the Production of Semantic Phenotypesen_US
dc.typeBook Chapteren_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationotherIllinois Natural History Survey, University of Illinois at Urbana-Champaignen_US
dc.contributor.affiliationotherSchool of Information Sciences, University of Illinois at Urbana-Champaignen_US
dc.contributor.affiliationotherInstitut für Evolutionsbiologie und Ökologie, Universität Bonnen_US
dc.contributor.affiliationotherArizona State University, School of Life Sciencesen_US
dc.contributor.affiliationotherDepartment of Entomology, Penn State Universityen_US
dc.contributor.affiliationotherUniversity of North Carolina at Chapel Hill, Renaissance Computing Instituteen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/148811/1/yoder_proof.pdf
dc.identifier.doi10.3233/978-1-61499-854-9-53
dc.identifier.sourceStudies on the Semantic Web: Volume 33: Application of Semantic Technology in Biodiversity Scienceen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6238-3498en_US
dc.description.filedescriptionDescription of yoder_proof.pdf : Proof of book chapter
dc.identifier.name-orcidThomer, Andrea; 0000-0001-6238-3498en_US
dc.owningcollnameInformation, School of (SI)


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