KG explorer: a customisable exploration tool for knowledge graphs

Ehrhart, Thibault; Lisena, Pasquale; Troncy, Raphaël
VOILA 2021, 6th International Workshop on Visualization and Interaction for Ontologies and Linked Data, colocated with ISWC 2021, October 25, 2021 (Virtual Event)

The growing adoption of Knowledge Graphs demands new applications which enable users to search and browse structured data in a suitable way depending on the domain. In this paper, we introduce KG Explorer, a web-based exploratory search engine for RDF-based Knowledge Graphs. The software can be configured in order to adapt to different information domains, customising both the UI components and the queries made for retrieving the information. It also includes features such as full-text search, facet-based advanced search, and the possibility to create lists of favourites items modelled in the knowledge graph.

Type:
Conférence
Date:
2021-10-24
Department:
Data Science
Eurecom Ref:
6681
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in VOILA 2021, 6th International Workshop on Visualization and Interaction for Ontologies and Linked Data, colocated with ISWC 2021, October 25, 2021 (Virtual Event) and is available at :

PERMALINK : https://www.eurecom.fr/publication/6681