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dc.contributor.authorStannett, Matt
dc.contributor.authorLegg, Catherine
dc.contributor.authorSarjant, Samuel
dc.coverage.spatialConference held at Christchurch, New Zealanden_NZ
dc.date.accessioned2014-01-20T02:00:52Z
dc.date.available2014-01-20T02:00:52Z
dc.date.issued2013
dc.identifier.citationStannett, M., Legg, C. & Sarjant, S. (2013). Massive ontology interface. Paper presented at CHINZ 2013: 14th Annual Conference of the New Zealand Chapter of the ACM Special Interest Group on Computer-Human Interaction, 15-16 November 2013 — Christchurch, New Zealand.en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/8410
dc.description.abstractThis paper describes the Massive Ontology Interface (MOI), a web portal which facilitates interaction with a large ontology (over 200,000 concepts and 1.6M assertions) that is built automatically using OpenCyc as a backbone. The aim of the interface is to simplify interaction with the massive amounts of information and guide the user towards understanding the ontology’s data. Using either a text or graph-based representation, users can discuss and edit the ontology. Social elements utilizing gamification techniques are included to encourage users to create and collaborate on stored knowledge as part of a web community. An evaluation by 30 users comparing MOI with OpenCyc’s original interface showed significant improvements in user understanding of the ontology, although full testing of the interface’s social elements lies in the future.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherACMen_NZ
dc.relation.urihttp://sigchinz.acm.org/chinz/2013/en_NZ
dc.rightsThis is the authors' accepted version. Copyright ACM 2013.en_NZ
dc.sourceCHINZ'13en_NZ
dc.subjectweb interfaceen_NZ
dc.subjectontologyen_NZ
dc.subjectgraphic visualizationen_NZ
dc.subjectgamificationen_NZ
dc.subjectcrowd-sourcingen_NZ
dc.subjectOpenCycen_NZ
dc.titleMassive ontology interfaceen_NZ
dc.typeConference Contributionen_NZ
dc.identifier.doi10.1145/2542242.2542251en_NZ
dc.relation.isPartOfProc 14th Annual ACM SIGCHI_NZ Conference on Computer-Human Interactionen_NZ
pubs.elements-id23677
pubs.finish-date2013-11-16en_NZ
pubs.start-date2013-11-15en_NZ


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