Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorMéndez, Gonzalo Gabriel
dc.contributor.authorNacenta, Miguel A.
dc.date.accessioned2017-01-23T16:30:13Z
dc.date.available2017-01-23T16:30:13Z
dc.date.issued2016-11-08
dc.identifier.citationMéndez , G G & Nacenta , M A 2016 , Opportunistic visualization with iVoLVER . in 2016 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016 . , 7739693 , IEEE Computer Society , pp. 234-235 , IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016 , Cambridge , United Kingdom , 4/09/16 . https://doi.org/10.1109/VLHCC.2016.7739693en
dc.identifier.citationconferenceen
dc.identifier.isbn9781509002528
dc.identifier.otherPURE: 248203167
dc.identifier.otherPURE UUID: 7e45fb2f-c0d0-4dea-88c1-d218d49ca5cd
dc.identifier.otherScopus: 85000360931
dc.identifier.otherORCID: /0000-0002-9864-9654/work/34034528
dc.identifier.otherWOS: 000392158000039
dc.identifier.urihttp://hdl.handle.net/10023/10161
dc.description.abstractProposed as 'data analysis anywhere, anytime, from anything', Opportunistic Information Visualization (Opportu-Vis) [1] seeks to provide analytical support in scenarios where the data of interest is not explicitly available and has to be retrieved from digital artifacts that are not traditionally used as data sources. Examples include raster images, web pages, vector files, and photographs. This showpiece presents how iVoLVER, the Interactive Visual Language for Visualization Extraction and Reconstruction, provides support in such settings. We briefly describe the overall construction approach of the tool in scenarios where different digital artifacts are used to compose interactive visuals. All of this becomes possible by using the data extraction capabilities of iVoLVER together with the elements of its visual language.
dc.format.extent2
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartof2016 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016en
dc.rights© 2016, IEEE. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at ieeexplore.ieee.org / https://doi.org/10.1109/VLHCC.2016.7739693en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.subjectComputational Theory and Mathematicsen
dc.subjectHuman-Computer Interactionen
dc.subjectSoftwareen
dc.subjectNDASen
dc.subject.lccQA75en
dc.subject.lccQA76en
dc.titleOpportunistic visualization with iVoLVERen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1109/VLHCC.2016.7739693


This item appears in the following Collection(s)

Show simple item record