RT info:eu-repo/semantics/conferenceObject
T1 From silos to open, federated and enriched Data Lakes for smart building data management
A1 Hernández, J. L.
A1 Martin, S.
A1 Marinakis, V.
A1 Miguel Jiménez, Ignacio de
K1 Data lake
K1 Data quality
K1 Standards
K1 Ontologies
K1 Smart buildings
AB Current building data is treated as silos from the different building domains. However, this provokes the lack of cross-domain data mixture to provide added-value services, mainly due to lack of interoperability. Data quality is also an issue when collecting data from buildings. The proposed data lake aims to solve these challenges by considering the whole data life-cycle to ensure minimum data quality requirements, providing high-quality services to make better-informed decisions. Heterogeneous building-related data is thus combined to enrich the information, being able to address multiple stakeholders in the smart building context. The data lake is being deployed in the DigiBUILD project, where data from 10 pilots with different purposes are collected to demonstrate the capability and benefits of its application.
PB Institute of Electrical and Electronics Engineers (IEEE)
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/62301
UL https://uvadoc.uva.es/handle/10324/62301
LA eng
NO 2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), Milano, Italy, 2023, pp. 29-33
NO Producción Científica
DS UVaDOC
RD 14-oct-2024