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Erling Onstein

Biographic Data

ID9967000
NAMEErling Onstein
GIVEN NAMESErling
FAMILY NAMEOnstein
SIGNATUREONSTEIN E
AFFILIATIONSNorwegian University of Science and Technology
ORCID0000-0002-5447-7563
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Use of Semantic Web Technologies to Enhance the Integration and Interoperability of Environmental Geospatial Data

    Open Access•Sajith Ranatunga, Rune Strand Ødegård et al.•ARTICLE•ISPRS International Journal of…•2025

    This study addresses the challenges of integrating heterogeneous environmental geospatial data by proposing a framework based on ontology-based data access (OBDA). Geospatial data are important for decision-making in various domains, such as environmental monitoring, disaster management, and urban development. Data integration is a common challenge within these domains due to data heterogeneity and semantic discrepancies. The proposed framework u…

  • IFC Schemas in ISO/TC 211 Compliant UML for Improved Interoperability between BIM and GIS

    Open Access•Knut Jetlund, Erling Onstein et al.•ARTICLE•ISPRS International Journal of…•2020

    This study aims to improve the interoperability between the application domains of Building Information Modelling (BIM) and Geographic Information Systems (GIS) by linking and harmonizing core information concepts. Many studies have investigated the integration of application schemas and data instances according to the BIM model IFC and the GIS model CityGML. This study investigates integration between core abstract concepts from IFC and ISO/TC 2…

  • State-of-the-Art Geospatial Information Processing in NoSQL Databases

    Open Access•Dongming Guo, Erling Onstein•ARTICLE•ISPRS International Journal of…•2020

    Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and most geographic information applications are desktop applications. With the arrival of big data, geospatial information applications are also being modified into, e.g., mobile platforms and Geospatia…

No prominent works on this page.

  • IFC Schemas in ISO/TC 211 Compliant UML for Improved Interoperability between BIM and GIS

    Open Access•Knut Jetlund, Erling Onstein et al.•ARTICLE•ISPRS International Journal of…•2020

    This study aims to improve the interoperability between the application domains of Building Information Modelling (BIM) and Geographic Information Systems (GIS) by linking and harmonizing core information concepts. Many studies have investigated the integration of application schemas and data instances according to the BIM model IFC and the GIS model CityGML. This study investigates integration between core abstract concepts from IFC and ISO/TC 2…

  • State-of-the-Art Geospatial Information Processing in NoSQL Databases

    Open Access•Dongming Guo, Erling Onstein•ARTICLE•ISPRS International Journal of…•2020

    Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and most geographic information applications are desktop applications. With the arrival of big data, geospatial information applications are also being modified into, e.g., mobile platforms and Geospatia…

  • Use of Semantic Web Technologies to Enhance the Integration and Interoperability of Environmental Geospatial Data

    Open Access•Sajith Ranatunga, Rune Strand Ødegård et al.•ARTICLE•ISPRS International Journal of…•2025

    This study addresses the challenges of integrating heterogeneous environmental geospatial data by proposing a framework based on ontology-based data access (OBDA). Geospatial data are important for decision-making in various domains, such as environmental monitoring, disaster management, and urban development. Data integration is a common challenge within these domains due to data heterogeneity and semantic discrepancies. The proposed framework u…

Computer Science (3 works) · Data mining (2 works) · Database (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Geospatial analysis (2 works) · Geospatial PDF (2 works) · Information retrieval (2 works) · Interoperability (2 works) · Remote sensing (2 works)

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