Making WebVOWL Great Again

Frederik Schnack  Pretzmann; Kristian Emil Weinreich Nielsen; Magnus Lindholm Rennekamp; Nikolas Frederik Niemi; Tomer Sagi

Making WebVOWL Great Again

Frederik Schnack Pretzmann, Kristian Emil Weinreich Nielsen, Magnus Lindholm Rennekamp, Nikolas Frederik Niemi, Tomer Sagi

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

WebVOWL is a popular Ontology Visualization tool used by
researchers and practitioners as a standalone tool or embedded in larger
data integration tools. Unfortunately, its performance, especially when
visualizing large ontologies, leaves much to be desired. Here, we demon-
strate a new version of WebVOWL optimized for speed. We describe our
analyses of the original tool’s run-time complexity and how we reduced
the theoretical complexity and practical run-time by orders of magni-
tude. In the demonstration, we will show the side-by-side performance
monitored behavior of the original WebVOWL with our version on tasks
such as visualizing a large ontology, filtering, and collapsing sub-graphs.

Original language	English
Title of host publication	The Semantic Web: ESWC 2025 Satellite Events, Portoroz, Slovenia, June 1 - 5, 2025, Proceedings.
Publisher	Springer Nature
Publication status	Accepted/In press - 13 Apr 2025

Keywords

Ontology
Web
Visualization

ODINI: Using an Ocean of Data to Drive Innovation in AI-based Data Integration and Computer Vision
Sagi, T. (CoPI), Lehahn, Y. (CoPI), Sher, D. (CoPI), Bar, K. (Project Participant), Zaitoun, A. (Project Participant), Veyhe, B. E. (Project Participant) & Larsen, S. K. (Project Participant)
01/07/2022 → 31/07/2025
Project: Research

Cite this

@inproceedings{617a4bcf70024fc5a5aec51e18db2340,

title = "Making WebVOWL Great Again",

abstract = "WebVOWL is a popular Ontology Visualization tool used by researchers and practitioners as a standalone tool or embedded in larger data integration tools. Unfortunately, its performance, especially when visualizing large ontologies, leaves much to be desired. Here, we demon-strate a new version of WebVOWL optimized for speed. We describe our analyses of the original tool{\textquoteright}s run-time complexity and how we reduced the theoretical complexity and practical run-time by orders of magni-tude. In the demonstration, we will show the side-by-side performance monitored behavior of the original WebVOWL with our version on tasks such as visualizing a large ontology, filtering, and collapsing sub-graphs.",

keywords = "Ontology, Web, Visualization",

author = "Pretzmann, {Frederik Schnack} and Nielsen, {Kristian Emil Weinreich} and Rennekamp, {Magnus Lindholm} and Niemi, {Nikolas Frederik} and Tomer Sagi",

year = "2025",

month = apr,

day = "13",

language = "English",

booktitle = "The Semantic Web: ESWC 2025 Satellite Events, Portoroz, Slovenia, June 1 - 5, 2025, Proceedings.",

publisher = "Springer Nature",

address = "United States",

}

Making WebVOWL Great Again. / Pretzmann, Frederik Schnack ; Nielsen, Kristian Emil Weinreich; Rennekamp, Magnus Lindholm et al.
The Semantic Web: ESWC 2025 Satellite Events, Portoroz, Slovenia, June 1 - 5, 2025, Proceedings.. Springer Nature, 2025.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Making WebVOWL Great Again

AU - Pretzmann, Frederik Schnack

AU - Nielsen, Kristian Emil Weinreich

AU - Rennekamp, Magnus Lindholm

AU - Niemi, Nikolas Frederik

AU - Sagi, Tomer

PY - 2025/4/13

Y1 - 2025/4/13

N2 - WebVOWL is a popular Ontology Visualization tool used by researchers and practitioners as a standalone tool or embedded in larger data integration tools. Unfortunately, its performance, especially when visualizing large ontologies, leaves much to be desired. Here, we demon-strate a new version of WebVOWL optimized for speed. We describe our analyses of the original tool’s run-time complexity and how we reduced the theoretical complexity and practical run-time by orders of magni-tude. In the demonstration, we will show the side-by-side performance monitored behavior of the original WebVOWL with our version on tasks such as visualizing a large ontology, filtering, and collapsing sub-graphs.

AB - WebVOWL is a popular Ontology Visualization tool used by researchers and practitioners as a standalone tool or embedded in larger data integration tools. Unfortunately, its performance, especially when visualizing large ontologies, leaves much to be desired. Here, we demon-strate a new version of WebVOWL optimized for speed. We describe our analyses of the original tool’s run-time complexity and how we reduced the theoretical complexity and practical run-time by orders of magni-tude. In the demonstration, we will show the side-by-side performance monitored behavior of the original WebVOWL with our version on tasks such as visualizing a large ontology, filtering, and collapsing sub-graphs.

KW - Ontology

KW - Web

KW - Visualization

M3 - Article in proceeding

BT - The Semantic Web: ESWC 2025 Satellite Events, Portoroz, Slovenia, June 1 - 5, 2025, Proceedings.

PB - Springer Nature

ER -

Making WebVOWL Great Again

Abstract

Keywords

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Projects

ODINI: Using an Ocean of Data to Drive Innovation in AI-based Data Integration and Computer Vision

Cite this