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:
Conference
Date:
2021-10-25
Department:
Data Science
Eurecom Ref:
6681
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in and is available at :
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