VizKG: A framework for visualizing SPARQL query results over knowledge graphs

Hana Raissya, Fariz Darari, Fajar J. Ekaputra

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

Despite the rise of the knowledge graph (KG) popularity, understanding SPARQL query results from a KG can be challenging for users. The use of data visualization tools, e.g., Wikidata Query Service and YASGUI, can help address this challenge. However, existing tools are either focused just on a specific KG or only provided as a web interface. This paper proposes VizKG, a framework that provides a wide range of visualizations for SPARQL query results over KGs. VizKG aims to assist users in extracting patterns and insights from data in KGs, and hence supporting further KG analysis. VizKG features a wrapper that links SPARQL query results and external visualization libraries by mapping query result variables to the required visualization components, currently allowing for 24 types of visualizations. Not only that, VizKG also includes visualization recommendations for arbitrary SPARQL query results as well as extension mechanisms for additional visualization types. In our evaluation, the visualization recommendation feature of VizKG achieves an accuracy of 87.8%. To demonstrate the usefulness of VizKG in practical settings, this paper also reports on use case evaluation over various domains and KGs. A Python-based, Jupyter Notebook friendly implementation of VizKG is openly available at https://pypi.org/project/VizKG/.

OriginalspracheEnglisch
Titel des SammelwerksVoila 2021 : Proceedings of the Sixth International Workshop on the Visualization and Interaction for Ontologies and Linked Data co-located with the 20th International Semantic Web Conference (ISWC 2021)
Herausgeber*innenPatrick Lambrix, Catia Pesquita, Vitalis Wiens
ErscheinungsortAachen
VerlagCEUR WS
Seiten95-102
Seitenumfang8
PublikationsstatusVeröffentlicht - 2021
Extern publiziertJa
Veranstaltung6th International Workshop on the Visualization and Interaction for Ontologies and Linked Data, VOILA! 2021 - Virtual, Online
Dauer: 25 Okt. 2021 → …

Publikationsreihe

NameCEUR Workshop Proceedings
Herausgeber (Verlag)CEUR-WS
Band3023
ISSN (Print)1613-0073

Konferenz

Konferenz6th International Workshop on the Visualization and Interaction for Ontologies and Linked Data, VOILA! 2021
OrtVirtual, Online
Zeitraum25/10/21 → …

Bibliographische Notiz

Publisher Copyright:
Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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