A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT
NoSQL databases, known for their flexibility and scalability, have become pivotal in handling diverse and unstructured data. However, their schema-less nature introduces significant challenges in metadata management, query optimization, and data integration. This paper presents a novel schema extrac...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11003873/ |
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| author | Saad Belefqih Mohammed Barchane Ahmed Zellou El Habib Benlahmar |
| author_facet | Saad Belefqih Mohammed Barchane Ahmed Zellou El Habib Benlahmar |
| author_sort | Saad Belefqih |
| collection | DOAJ |
| description | NoSQL databases, known for their flexibility and scalability, have become pivotal in handling diverse and unstructured data. However, their schema-less nature introduces significant challenges in metadata management, query optimization, and data integration. This paper presents a novel schema extraction framework that captures the structural and semantic complexity of NoSQL databases. By integrating constraints, logical rules, and Sentence-BERT embeddings, the proposed approach generates semantically enriched schemas that ensure accuracy, coherence, and usability. Experimental evaluation highlights its adaptability across diverse datasets, demonstrating improvements in semantic precision, data integration, and metadata quality. The framework provides a practical solution for bridging schema-less and structured database workflows, enhancing interoperability and analytics capabilities. |
| format | Article |
| id | doaj-art-cdd9fb4a1bb044d49f8c603c46eb34e3 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-cdd9fb4a1bb044d49f8c603c46eb34e32025-08-20T02:39:38ZengIEEEIEEE Access2169-35362025-01-0113882438825410.1109/ACCESS.2025.356977911003873A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERTSaad Belefqih0https://orcid.org/0009-0001-5972-0147Mohammed Barchane1Ahmed Zellou2https://orcid.org/0000-0002-4688-912XEl Habib Benlahmar3Software Project Management Research Team, ENSIAS, Mohammed V University in Rabat, Rabat, MoroccoLaboratory of Information Technology and Modeling, Faculty of Sciences Ben M’Sick, Hassan II University of Casablanca, Casablanca, MoroccoSoftware Project Management Research Team, ENSIAS, Mohammed V University in Rabat, Rabat, MoroccoLaboratory of Information Technology and Modeling, Faculty of Sciences Ben M’Sick, Hassan II University of Casablanca, Casablanca, MoroccoNoSQL databases, known for their flexibility and scalability, have become pivotal in handling diverse and unstructured data. However, their schema-less nature introduces significant challenges in metadata management, query optimization, and data integration. This paper presents a novel schema extraction framework that captures the structural and semantic complexity of NoSQL databases. By integrating constraints, logical rules, and Sentence-BERT embeddings, the proposed approach generates semantically enriched schemas that ensure accuracy, coherence, and usability. Experimental evaluation highlights its adaptability across diverse datasets, demonstrating improvements in semantic precision, data integration, and metadata quality. The framework provides a practical solution for bridging schema-less and structured database workflows, enhancing interoperability and analytics capabilities.https://ieeexplore.ieee.org/document/11003873/NoSQL databasesschema discoverysemantic enrichmentSBERT transformersRDFdatabase interoperability |
| spellingShingle | Saad Belefqih Mohammed Barchane Ahmed Zellou El Habib Benlahmar A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT IEEE Access NoSQL databases schema discovery semantic enrichment SBERT transformers RDF database interoperability |
| title | A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT |
| title_full | A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT |
| title_fullStr | A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT |
| title_full_unstemmed | A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT |
| title_short | A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT |
| title_sort | novel framework for rdf schema extraction in nosql databases using sentence bert |
| topic | NoSQL databases schema discovery semantic enrichment SBERT transformers RDF database interoperability |
| url | https://ieeexplore.ieee.org/document/11003873/ |
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