Social and Semantic Computing in Support of Citizen Science

dc.contributor.authorSachs, Joel
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-14T20:29:22Z
dc.date.available2018-11-14T20:29:22Z
dc.date.issued2011-08-05
dc.descriptionProceedings of the Third Canadian Semantic Web Symposiumen
dc.description.abstractWe describe our ongoing work on using social media as a platform for citizen science. Building on our previous work of facilitating citizen science observations, and using RDF to integrate them with existing biodiversity knowledge, we are currently building Facebook Apps that will enable the reporting of observations, as well as the browsing and tagging of existing observations. The tagging capability serves two main purposes. First, it permits (and, we hope, encourages) multi-stage crowdsourcing for image identification. Second, it serves as a driver of ontology evolution, and permits experiments on potential working relationships between expert-engineered ontologies, and tagbased folksonomies.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/572/Social-and-Semantic-Computing-in-Support-of-Citizen-Scienceen
dc.format.extent6 pagesen
dc.genreconference papers and proceedings preprintsen
dc.identifierdoi:10.13016/M2SX64D9R
dc.identifier.urihttp://hdl.handle.net/11603/11990
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectSemantic Weben
dc.subjectSocial computingen
dc.subjectBiodiversity informaticsen
dc.subjectCitizen scienceen
dc.subjectCollaborative ontology developmenten
dc.subjectUMBC Ebiquity Research Groupen
dc.titleSocial and Semantic Computing in Support of Citizen Scienceen
dc.typeTexten

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