2026-04-14T05:31:48Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/2247522026-04-07T21:57:20Zcom_2072_1057col_2072_478811col_2072_478917

Linked data to streaming data sensors sources for direct access Calvetti, Diego Nascimento, Daniel Luiz de Mattos Araújo Filho, Flávio Abreu, Rafael Papadopoulos, Nicolas Dades enllaçades Xarxes de sensors Linked data Sensor networks Goal: Industrial operations are complex, and data sensors assure safety and reliable information for production improvements. Multiple stakeholders can take advantage of data acquisition for post-analysis and process control. Providing users and systems with friendly access to operating data is fundamental to the digital transition in the industry 4.0 scenario. Linking data and systems over ontologies and Industry Foundation Classes will boost supply chain performance in many layers. This paper presents the concept of valid data points over Uniform Resource Identifiers for sensor time-series into triples stores via Application Programming Interfaces. (...) 2025-12-09T12:29:51Z 2025-12-09T12:29:51Z 2024-01-24 2025-12-09T12:29:51Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://hdl.handle.net/2445/224752 746821 eng Reproducció del document publicat a: https://doi.org/10.14488/BJOPM.1993.2024 Brazilian Journal of Operations & Production Management, 2024, vol. 21, num.1, p. 1-14 https://doi.org/10.14488/BJOPM.1993.2024 cc-by (c) Calvetti, D. et al., 2024 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess 14 p. application/pdf Associação Brasileira de Engenharia de Produção Articles publicats en revistes (Empresa)