Next Article in Journal
The Effect of Augmented Reality on Learning Meiosis via Guided Inquiry and Pecha Kucha: A Quasi-Experimental Design
Next Article in Special Issue
Integrating Knowledge Graphs into Autonomous Vehicle Technologies: A Survey of Current State and Future Directions
Previous Article in Journal
Prevention of Cardiometabolic Syndrome in Children and Adolescents Using Machine Learning and Noninvasive Factors: The CASPIAN-V Study
Previous Article in Special Issue
Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

LPG Semantic Ontologies: A Tool for Interoperable Schema Creation and Management

by
Eleonora Bernasconi
1,*,
Miguel Ceriani
2 and
Stefano Ferilli
1,*
1
Department of Computer Science, University of Bari, 70125 Bari, Italy
2
Institute of Cognitive Sciences and Technologies-National Research Council, 00196 Roma, Italy
*
Authors to whom correspondence should be addressed.
Information 2024, 15(9), 565; https://doi.org/10.3390/info15090565
Submission received: 21 July 2024 / Revised: 28 August 2024 / Accepted: 9 September 2024 / Published: 13 September 2024
(This article belongs to the Special Issue Knowledge Graph Technology and its Applications II)

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.
Keywords: ontologies; knowledge management; semantic web; large language models; Semantic Labeled Property Graphs ontologies; knowledge management; semantic web; large language models; Semantic Labeled Property Graphs

Share and Cite

MDPI and ACS Style

Bernasconi, E.; Ceriani, M.; Ferilli, S. LPG Semantic Ontologies: A Tool for Interoperable Schema Creation and Management. Information 2024, 15, 565. https://doi.org/10.3390/info15090565

AMA Style

Bernasconi E, Ceriani M, Ferilli S. LPG Semantic Ontologies: A Tool for Interoperable Schema Creation and Management. Information. 2024; 15(9):565. https://doi.org/10.3390/info15090565

Chicago/Turabian Style

Bernasconi, Eleonora, Miguel Ceriani, and Stefano Ferilli. 2024. "LPG Semantic Ontologies: A Tool for Interoperable Schema Creation and Management" Information 15, no. 9: 565. https://doi.org/10.3390/info15090565

APA Style

Bernasconi, E., Ceriani, M., & Ferilli, S. (2024). LPG Semantic Ontologies: A Tool for Interoperable Schema Creation and Management. Information, 15(9), 565. https://doi.org/10.3390/info15090565

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop