VizWick: A multiperspective view of hierarchical data

Michael Burch; Adrian Vramulet; Alex Thieme; Alina Vorobiova; Denis Shehu; Mara Miulescu; Mehrdad Farsadyar; Tar van Krieken

doi:10.1145/3430036.3430044

VizWick: A multiperspective view of hierarchical data

Michael Burch
, Adrian Vramulet
, Alex Thieme
, Alina Vorobiova
, Denis Shehu
, Mara Miulescu
, Mehrdad Farsadyar
, Tar van Krieken

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

4 Citaten (Scopus)

1 Downloads (Pure)

Samenvatting

In this paper we present a web-based interactive tool for visualizing hierarchical data. Our main purpose is to facilitate the visualization of datasets. We achieve this by offering VizWick in a browser environment, with no requirement of additional software. We provide the option to view the same dataset from multiple coordinated perspectives, thus providing the possibility to gain more analytical insight than if the dataset was visualized in a single view. We focus on several hierarchy visualization techniques which can be either in 2D, 3D, or a virtual reality environment. The choice of programming language is JavaScript, with the aid of PixiJS and Three.js libraries. We demonstrate the usefulness of our tool by applying it to the NCBI taxonomy, a hierarchically structured dataset which contains over 300,000 elements.

Originele taal-2	Engels
Titel	VINCI '20
Subtitel	Proceedings of the 13th International Symposium on Visual Information Communication and Interaction
Redacteuren	Michael Burch, Michel Westenberg, Quang Vinh Nguyen, Ying Zhao
Plaats van productie	New York
Uitgeverij	Association for Computing Machinery, Inc.
Aantal pagina's	5
ISBN van elektronische versie	978-1-4503-8750-7
DOI's	https://doi.org/10.1145/3430036.3430044
Status	Gepubliceerd - 8 dec 2020
Evenement	13th International Symposium on Visual Information Communication and Interaction, VINCI 2020 - Virtual, Online, Nederland Duur: 8 dec 2020 → 10 dec 2020

Congres

Congres	13th International Symposium on Visual Information Communication and Interaction, VINCI 2020
Land/Regio	Nederland
Stad	Virtual, Online
Periode	8/12/20 → 10/12/20

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Publisher Copyright:
© 2020 ACM.

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10.1145/3430036.3430044

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Burch, M., Vramulet, A., Thieme, A., Vorobiova, A., Shehu, D., Miulescu, M., Farsadyar, M., & van Krieken, T. (2020). VizWick: A multiperspective view of hierarchical data. In M. Burch, M. Westenberg, Q. V. Nguyen, & Y. Zhao (editors), VINCI '20: Proceedings of the 13th International Symposium on Visual Information Communication and Interaction Artikel 23 Association for Computing Machinery, Inc.. https://doi.org/10.1145/3430036.3430044

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title = "VizWick: A multiperspective view of hierarchical data",

abstract = "In this paper we present a web-based interactive tool for visualizing hierarchical data. Our main purpose is to facilitate the visualization of datasets. We achieve this by offering VizWick in a browser environment, with no requirement of additional software. We provide the option to view the same dataset from multiple coordinated perspectives, thus providing the possibility to gain more analytical insight than if the dataset was visualized in a single view. We focus on several hierarchy visualization techniques which can be either in 2D, 3D, or a virtual reality environment. The choice of programming language is JavaScript, with the aid of PixiJS and Three.js libraries. We demonstrate the usefulness of our tool by applying it to the NCBI taxonomy, a hierarchically structured dataset which contains over 300,000 elements.",

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author = "Michael Burch and Adrian Vramulet and Alex Thieme and Alina Vorobiova and Denis Shehu and Mara Miulescu and Mehrdad Farsadyar and \{van Krieken\}, Tar",

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language = "English",

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Burch, M, Vramulet, A, Thieme, A, Vorobiova, A, Shehu, D, Miulescu, M, Farsadyar, M & van Krieken, T 2020, VizWick: A multiperspective view of hierarchical data. in M Burch, M Westenberg, QV Nguyen & Y Zhao (reds.), VINCI '20: Proceedings of the 13th International Symposium on Visual Information Communication and Interaction., 23, Association for Computing Machinery, Inc., New York, 13th International Symposium on Visual Information Communication and Interaction, VINCI 2020, Virtual, Online, Nederland, 8/12/20. https://doi.org/10.1145/3430036.3430044

VizWick: A multiperspective view of hierarchical data. / Burch, Michael; Vramulet, Adrian; Thieme, Alex et al.
VINCI '20: Proceedings of the 13th International Symposium on Visual Information Communication and Interaction. reds. / Michael Burch; Michel Westenberg; Quang Vinh Nguyen; Ying Zhao. New York: Association for Computing Machinery, Inc., 2020. 23.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - VizWick

T2 - 13th International Symposium on Visual Information Communication and Interaction, VINCI 2020

AU - Burch, Michael

AU - Vramulet, Adrian

AU - Thieme, Alex

AU - Vorobiova, Alina

AU - Shehu, Denis

AU - Miulescu, Mara

AU - Farsadyar, Mehrdad

AU - van Krieken, Tar

PY - 2020/12/8

Y1 - 2020/12/8

N2 - In this paper we present a web-based interactive tool for visualizing hierarchical data. Our main purpose is to facilitate the visualization of datasets. We achieve this by offering VizWick in a browser environment, with no requirement of additional software. We provide the option to view the same dataset from multiple coordinated perspectives, thus providing the possibility to gain more analytical insight than if the dataset was visualized in a single view. We focus on several hierarchy visualization techniques which can be either in 2D, 3D, or a virtual reality environment. The choice of programming language is JavaScript, with the aid of PixiJS and Three.js libraries. We demonstrate the usefulness of our tool by applying it to the NCBI taxonomy, a hierarchically structured dataset which contains over 300,000 elements.

AB - In this paper we present a web-based interactive tool for visualizing hierarchical data. Our main purpose is to facilitate the visualization of datasets. We achieve this by offering VizWick in a browser environment, with no requirement of additional software. We provide the option to view the same dataset from multiple coordinated perspectives, thus providing the possibility to gain more analytical insight than if the dataset was visualized in a single view. We focus on several hierarchy visualization techniques which can be either in 2D, 3D, or a virtual reality environment. The choice of programming language is JavaScript, with the aid of PixiJS and Three.js libraries. We demonstrate the usefulness of our tool by applying it to the NCBI taxonomy, a hierarchically structured dataset which contains over 300,000 elements.

KW - hierarchical data

KW - multiple coordinated views

KW - virtual reality

KW - web-based interaction

UR - https://www.scopus.com/pages/publications/85098465502

U2 - 10.1145/3430036.3430044

DO - 10.1145/3430036.3430044

M3 - Conference contribution

AN - SCOPUS:85098465502

BT - VINCI '20

A2 - Burch, Michael

A2 - Westenberg, Michel

A2 - Nguyen, Quang Vinh

A2 - Zhao, Ying

PB - Association for Computing Machinery, Inc.

CY - New York

Y2 - 8 December 2020 through 10 December 2020

ER -

Burch M, Vramulet A, Thieme A, Vorobiova A, Shehu D, Miulescu M et al. VizWick: A multiperspective view of hierarchical data. In Burch M, Westenberg M, Nguyen QV, Zhao Y, redacteurs, VINCI '20: Proceedings of the 13th International Symposium on Visual Information Communication and Interaction. New York: Association for Computing Machinery, Inc. 2020. 23 doi: 10.1145/3430036.3430044

VizWick: A multiperspective view of hierarchical data

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