OnSET: Ontology and Semantic Exploration Toolkit

Fuente: arXiv
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Hauptverfasser: Kantz, Benedikt, Innerebner, Kevin, Waldert, Peter, Lengauer, Stefan, Lex, Elisabeth, Schreck, Tobias
Format: Preprint
Veröffentlicht: 2025
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author Kantz, Benedikt
Innerebner, Kevin
Waldert, Peter
Lengauer, Stefan
Lex, Elisabeth
Schreck, Tobias
author_facet Kantz, Benedikt
Innerebner, Kevin
Waldert, Peter
Lengauer, Stefan
Lex, Elisabeth
Schreck, Tobias
contents Retrieval over knowledge graphs is usually performed using dedicated, complex query languages like SPARQL. We propose a novel system, Ontology and Semantic Exploration Toolkit (OnSET) that allows non-expert users to easily build queries with visual user guidance provided by topic modelling and semantic search throughout the application. OnSET allows users without any prior information about the ontology or networked knowledge to start exploring topics of interest over knowledge graphs, including the retrieval and detailed exploration of prototypical sub-graphs and their instances. Existing systems either focus on direct graph explorations or do not foster further exploration of the result set. We, however, provide a node-based editor that can extend on these missing properties of existing systems to support the search over big ontologies with sub-graph instances. Furthermore, OnSET combines efficient and open platforms to deploy the system on commodity hardware.
format Preprint
id arxiv_https___arxiv_org_abs_2504_08373
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle OnSET: Ontology and Semantic Exploration Toolkit
Kantz, Benedikt
Innerebner, Kevin
Waldert, Peter
Lengauer, Stefan
Lex, Elisabeth
Schreck, Tobias
Information Retrieval
Retrieval over knowledge graphs is usually performed using dedicated, complex query languages like SPARQL. We propose a novel system, Ontology and Semantic Exploration Toolkit (OnSET) that allows non-expert users to easily build queries with visual user guidance provided by topic modelling and semantic search throughout the application. OnSET allows users without any prior information about the ontology or networked knowledge to start exploring topics of interest over knowledge graphs, including the retrieval and detailed exploration of prototypical sub-graphs and their instances. Existing systems either focus on direct graph explorations or do not foster further exploration of the result set. We, however, provide a node-based editor that can extend on these missing properties of existing systems to support the search over big ontologies with sub-graph instances. Furthermore, OnSET combines efficient and open platforms to deploy the system on commodity hardware.
title OnSET: Ontology and Semantic Exploration Toolkit
topic Information Retrieval
url https://arxiv.org/abs/2504.08373