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Enhancing the viewing, browsing and searching of knowledge graphs with virtual properties

Henrik Dibowski (Bosch Research, Bosch Center for Artificial Intelligence, Renningen, Germany)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 16 April 2024

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Abstract

Purpose

Adequate means for easily viewing, browsing and searching knowledge graphs (KGs) are a crucial, still limiting factor. Therefore, this paper aims to present virtual properties as valuable user interface (UI) concept for ontologies and KGs able to improve these issues. Virtual properties provide shortcuts on a KG that can enrich the scope of a class with other information beyond its direct neighborhood.

Design/methodology/approach

Virtual properties can be defined as enhancements of shapes constraint language (SHACL) property shapes. Their values are computed on demand via protocol and RDF query language (SPARQL) queries. An approach is demonstrated that can help to identify suitable virtual property candidates. Virtual properties can be realized as integral functionality of generic, frame-based UIs, which can automatically provide views and masks for viewing and searching a KG.

Findings

The virtual property approach has been implemented at Bosch and is usable by more than 100,000 Bosch employees in a productive deployment, which proves the maturity and relevance of the approach for Bosch. It has successfully been demonstrated that virtual properties can significantly improve KG UIs by enriching the scope of a class with information beyond its direct neighborhood.

Originality/value

SHACL-defined virtual properties and their automatic identification are a novel concept. To the best of the author’s knowledge, no such approach has been established nor standardized so far.

Keywords

Citation

Dibowski, H. (2024), "Enhancing the viewing, browsing and searching of knowledge graphs with virtual properties", International Journal of Web Information Systems, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJWIS-02-2023-0027

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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