Affiliation:
1. Department of Computer Science, University of Bari, 70125 Bari, Italy
2. Institute of Cognitive Sciences and Technologies-National Research Council, 00196 Roma, Italy
Abstract
Ontologies are essential for the management and integration of heterogeneous datasets. This paper presents OntoBuilder, an advanced tool that leverages the structural capabilities of semantic labeled property graphs (SLPGs) in strict alignment with semantic web standards to create a sophisticated framework for data management. We detail OntoBuilder’s architecture, core functionalities, and application scenarios, demonstrating its proficiency and adaptability in addressing complex ontological challenges. Our empirical assessment highlights OntoBuilder’s strengths in enabling seamless visualization, automated ontology generation, and robust semantic integration, thereby significantly enhancing user workflows and data management capabilities. The performance of the linked data tools across multiple metrics further underscores the effectiveness of OntoBuilder.
Funder
CHANGES “Cultural Heritage Active Innovation for Sustainable Society”
Spoke 3 “Digital Libraries, Archives and Philology” and FAIR “Future AI Research”
spoke 6 “Symbiotic AI”
Italian Ministry of University and Research NRRP initiatives under the NextGenerationEU program
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