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A Unified Semantic Framework for Iot-Healthcare Data Interoperability: A Graph-Based Machine Learning Approach Using Rdf and R2Rml

AuthID
P-01A-S2Z

Author(s)

Pourvahab, M

Monteiro, A

Pais, S

Pombo, N

Editor(es)

Babar,,MA;Tosun,,A;Wagner,,S;Stray,,V

Tipo de Documento

Proceedings Paper

Year published

2025

Publicado

in PROCEEDINGS OF THE 29TH INTERNATIONAL CONFERENCE ON EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING, EASE 2025

Páginas: 864-873 (10)

Conference

29Th International Conference on Evaluation and Assessment in Software Engineering-Ease-Annual, Date: JUN 17-20, 2025, Location: Istanbul, TURKIYE

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Dblp^®/pt/publications/view/1401951

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Google Scholar^®

Metadata
Fontes

Publication Identifiers

DOI: 10.1145/3756681.3757054

DBLP: conf/ease/PourvahabMPP25

SCOPUS: 2-s2.0-105026955351

Wos: WOS:001668832700099

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A Unified Semantic Framework for Iot-Healthcare Data Interoperability: A Graph-Based Machine Learning Approach Using Rdf and R2Rml

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A Unified Semantic Framework for Iot-Healthcare Data Interoperability: A Graph-Based Machine Learning Approach Using Rdf and R2Rml

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