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VISO: a shared, formal knowledge base as a foundation for semi-automatic infovis systems

Authors:

Jan Polowinski,

Martin VoigtAuthors Info & Claims

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

Pages 1791 - 1796

https://doi.org/10.1145/2468356.2468677

Published: 27 April 2013 Publication History

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Abstract

Interactive visual analytic systems can help to solve the problem of identifying relevant information in the growing amount of data. For guiding the user through visualization tasks, these semi-automatic systems need to store and use knowledge of this interdisciplinary domain. Unfortunately, visualisation knowledge stored in one system cannot easily be reused in another due to a lack of shared formal models. In order to approach this problem, we introduce a visualization ontology (VISO) that formally models visualization-specific concepts and facts. Furthermore, we give first examples of the ontology's use within two systems and highlight how the community can get involved in extending and improving it.

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Digital Library

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Voigt, M., and Polowinski, J. Towards a unifying visualization ontology. Technical Report TUD-FI11-01, TU Dresden, Institut fuer Software und Multimediatechnik, Dresden, Mar. 2011. ISSN: 1430--211X.

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Cited By

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Po LBikakis NDesimoni FPapastefanatos G(2022)Linked Data VisualizationundefinedOnline publication date: 25-Mar-2022
Sevilla JCasanova-Salas PCasas-Yrurzum SPortalés C(2021)Multi-Purpose Ontology-Based Visualization of Spatio-Temporal Data: A Case Study on Silk HeritageApplied Sciences10.3390/app1104163611:4(1636)Online publication date: 11-Feb-2021
Chen MEbert D(2019)An Ontological Framework for Supporting the Design and Evaluation of Visual Analytics SystemsComputer Graphics Forum10.1111/cgf.1367738:3(131-144)Online publication date: 10-Jul-2019
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Index Terms

VISO: a shared, formal knowledge base as a foundation for semi-automatic infovis systems
1. Human-centered computing

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Information & Contributors

Information

Published In

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

April 2013

3360 pages

ISBN:9781450319522

DOI:10.1145/2468356

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 April 2013

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Poster

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CHI '13

Sponsor:

SIGCHI

CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

Paris, France

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CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

Sponsor:
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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

View all

Po LBikakis NDesimoni FPapastefanatos G(2022)Linked Data VisualizationundefinedOnline publication date: 25-Mar-2022
Sevilla JCasanova-Salas PCasas-Yrurzum SPortalés C(2021)Multi-Purpose Ontology-Based Visualization of Spatio-Temporal Data: A Case Study on Silk HeritageApplied Sciences10.3390/app1104163611:4(1636)Online publication date: 11-Feb-2021
Chen MEbert D(2019)An Ontological Framework for Supporting the Design and Evaluation of Visual Analytics SystemsComputer Graphics Forum10.1111/cgf.1367738:3(131-144)Online publication date: 10-Jul-2019
Sacha DKraus MKeim DChen M(2019)VIS4ML: An Ontology for Visual Analytics Assisted Machine LearningIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286483825:1(385-395)Online publication date: 1-Jan-2019
Sevilla JPortalés CGimeno JSebastián J(2019)SILKNOWViz: Spatio-Temporal Data Ontology ViewerComputational Science – ICCS 201910.1007/978-3-030-22750-0_8(97-109)Online publication date: 8-Jun-2019
(2018)A dataflow platform for applications based on Linked DataInternational Journal of Computational Science and Engineering10.1504/IJCSE.2018.1001496416:4(419-429)Online publication date: 1-Jan-2018
Vartak MRahman SMadden SParameswaran APolyzotis N(2015)SeeDBProceedings of the VLDB Endowment10.14778/2831360.28313718:13(2182-2193)Online publication date: 1-Sep-2015
Bottoni PCeriani M(2015)Towards an Ontology-Based Generic Pipeline EditorDatabases in Networked Information Systems10.1007/978-3-319-16313-0_5(56-73)Online publication date: 2015
Polowinski JCamacho DAkerkar RRodriguez Moreno M(2013)Towards RVLProceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics10.1145/2479787.2479825(1-11)Online publication date: 12-Jun-2013

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Recommendations

Dynamic sub-ontology evolution for traditional Chinese medicine web ontology

Visualization and semantic analysis of geographic metadata

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