{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T08:16:22Z","timestamp":1773130582461,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T00:00:00Z","timestamp":1738022400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Mission Mj\u00f8sa project","award":["NS11083K"],"award-info":[{"award-number":["NS11083K"]}]},{"name":"Norwegian Research Infrastructure Services (NRIS) project","award":["NS11083K"],"award-info":[{"award-number":["NS11083K"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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 uses semantic web technologies to enhance data interoperability, accessibility, and usability. Several practical examples were demonstrated to validate its effectiveness. These examples were based in Lake Mj\u00f8sa, Norway, addressing both spatial and non-spatial scenarios to test the framework\u2019s potential. By extending the GeoSPARQL ontology, the framework supports SPARQL queries to retrieve information based on user requirements. A web-based SPARQL Query Interface (SQI) was developed to execute queries and display the retrieved data in tabular and visual format. Utilizing free and open-source software (FOSS), the framework is easily replicable for stakeholders and researchers. Despite some limitations, the study concludes that the framework is able to enhance cross-domain data integration and semantic querying in various informed decision-making scenarios.<\/jats:p>","DOI":"10.3390\/ijgi14020052","type":"journal-article","created":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T07:54:08Z","timestamp":1738050848000},"page":"52","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Use of Semantic Web Technologies to Enhance the Integration and Interoperability of Environmental Geospatial Data: A Framework Based on Ontology-Based Data Access"],"prefix":"10.3390","volume":"14","author":[{"given":"Sajith","family":"Ranatunga","sequence":"first","affiliation":[{"name":"NTNU, Faculty of Engineering, Department of Manufacturing and Civil Engineering, Gj\u00f8vik, Teknologiveien 22, 2815 Gj\u00f8vik, Norway"}]},{"given":"Rune Strand","family":"\u00d8deg\u00e5rd","sequence":"additional","affiliation":[{"name":"NTNU, Faculty of Engineering, Department of Manufacturing and Civil Engineering, Gj\u00f8vik, Teknologiveien 22, 2815 Gj\u00f8vik, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8740-4029","authenticated-orcid":false,"given":"Knut","family":"Jetlund","sequence":"additional","affiliation":[{"name":"NTNU, Faculty of Engineering, Department of Manufacturing and Civil Engineering, Gj\u00f8vik, Teknologiveien 22, 2815 Gj\u00f8vik, Norway"},{"name":"Kartverket, Kartverksveien 21, 3511 H\u00f8nefoss, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5447-7563","authenticated-orcid":false,"given":"Erling","family":"Onstein","sequence":"additional","affiliation":[{"name":"NTNU, Faculty of Engineering, Department of Manufacturing and Civil Engineering, Gj\u00f8vik, Teknologiveien 22, 2815 Gj\u00f8vik, Norway"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,28]]},"reference":[{"key":"ref_1","unstructured":"Layton, R., and Watters, P.A. (2016). Chapter 10\u2014Geospatial Reasoning With Open Data. Automating Open Source Intelligence, Syngress."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s41651-023-00143-3","article-title":"Development of a Web-GIS Platform for Environmental Monitoring and Conservation of the Muringato Catchment in Kenya","volume":"7","author":"Kipkemboi","year":"2024","journal-title":"J. Geovisualization Spat. Analysis."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Pandey, S., Kumari, N., Dash, S.K., and Nawajish, S.A. (2022). Challenges and monitoring methods of forest management through geospatial application: A review. Advances in Remote Sensing for Forest Monitoring, John Wiley & Sons.","DOI":"10.1002\/9781119788157.ch13"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Marano, G., Langella, G., Basile, A., Cona, F., De Michele, C., Manna, P., Teobaldelli, M., Saracino, A., and Terribile, F. (2019). A Geospatial Decision Support System Tool for Supporting Integrated Forest Knowledge at the Landscape Scale. Forests, 10.","DOI":"10.3390\/f10080690"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"05006","DOI":"10.1051\/e3sconf\/202338605006","article-title":"Implementation of GIS-based Smart Community Information System and concepts of Digital Twin in the field of urban planning in Uzbekistan","volume":"386","author":"Avezbaev","year":"2023","journal-title":"E3S Web Conf."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"0003","DOI":"10.34133\/remotesensing.0003","article-title":"Earth Map: A Novel Tool for Fast Performance of Advanced Land Monitoring and Climate Assessment","volume":"3","author":"Morales","year":"2023","journal-title":"J. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Yang, L. (2023). A Web-Based Geodesign Tool for Evaluating the Integration of Transport Infrastructure, Public Spaces, and Human Activities. ISPRS Int. J. Geo-Inf., 12.","DOI":"10.3390\/ijgi12120504"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2517","DOI":"10.1002\/sd.2787","article-title":"Using web GIS to promote stakeholder understanding of scientific results in sustainable urban development: A case study in Bergen, Norway","volume":"32","author":"Miles","year":"2023","journal-title":"Sustain. Dev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1505","DOI":"10.1007\/s12205-022-0251-x","article-title":"Developing an Integrated BIM+GIS Web-Based Platform for a Mega Construction Project","volume":"26","author":"Zhao","year":"2022","journal-title":"KSCE J. Civ. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1258","DOI":"10.1080\/17538947.2019.1701110","article-title":"An interactive 4D spatio-temporal visualization system for hydrometeorological data in natural disasters","volume":"13","author":"Zhang","year":"2020","journal-title":"Int. J. Digit. Earth"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"104319","DOI":"10.1016\/j.ijdrr.2024.104319","article-title":"Automated geovisualization of flood disaster impacts in the global South cities with open geospatial data sets and ICEYE SAR flood data","volume":"103","author":"Nygren","year":"2024","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.ijdrr.2016.10.003","article-title":"Developing an integrated 2D and 3D WebGIS-based platform for effective landslide hazard management","volume":"20","author":"Chen","year":"2016","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_13","unstructured":"Folino, A., and Guarasci, R. (2022). An ontology for the representation of Earth Observation data: A step towards semantic interoperability. Knowledge Organization and Management in the Domain of Environment and Earth Observation (KOMEEO), Ergon\u2014Ein Verlag in der Nomos Verlagsgesellschaft."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3165","DOI":"10.1007\/s10115-023-01870-1","article-title":"Data management in digital twins: A systematic literature review","volume":"65","author":"Correia","year":"2023","journal-title":"Knowl. Inf. Syst."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1007\/s10707-019-00384-9","article-title":"Consistency assessment for open geodata integration: An ontology-based approach","volume":"25","author":"Ding","year":"2021","journal-title":"GeoInformatica"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.envsoft.2017.11.011","article-title":"Semantic interoperability of GIS and MCDA tools for environmental assessment and decision making","volume":"100","author":"Choi","year":"2018","journal-title":"Environ. Model. Softw."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Hamdani, Y., Xiao, G., Ding, L., and Calvanese, D. (2023). An Ontology-Based Framework for Geospatial Integration and Querying of Raster Data Cube Using Virtual Knowledge Graphs. ISPRS Int. J. Geo-Inf., 12, Available online: https:\/\/www.mdpi.com\/2220-9964\/12\/9\/375.","DOI":"10.3390\/ijgi12090375"},{"key":"ref_18","unstructured":"Dogru, A.G., and Toz, G. (2006). Integrative Geospatial Databases, International Society for Photogrammetry and Remote Sensing (ISPRS). Available online: https:\/\/www.isprs.org\/PROCEEDINGS\/XXXVI\/part4\/WG-IV-8.pdf."},{"key":"ref_19","unstructured":"(2024, October 22). ISO\/TC 211\u2014Geographic information\/Geomatics. Available online: https:\/\/www.iso.org\/committee\/54904\/x\/catalogue\/p\/1\/u\/1\/w\/0\/d\/0."},{"key":"ref_20","unstructured":"OGC Standards (2024, October 22). Open Geospatial Consort. Available online: https:\/\/www.ogc.org\/publications\/."},{"key":"ref_21","unstructured":"(2024, October 22). INSPIRE Directive Overview\u2014European Commission. Available online: https:\/\/knowledge-base.inspire.ec.europa.eu\/overview_en."},{"key":"ref_22","unstructured":"(2024, October 22). The SOSI Standard\u2014Geonorge Register. Available online: https:\/\/register.geonorge.no\/sosi-standarden."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"10604","DOI":"10.1109\/ACCESS.2021.3051084","article-title":"Review on Integrating Geospatial Big Datasets and Open Research Issues","volume":"9","author":"Xion","year":"2021","journal-title":"IEEE Access"},{"key":"ref_24","unstructured":"Andresel, M., Siska, V., David, R., Schlarb, S., and Wei\u00dfenfeld, A. (2024, January 27). Adapting Ontology-based Data Access for Data Spaces. Proceedings of the Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference, Hersonissos, Greece."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"100514","DOI":"10.1016\/j.websem.2019.100514","article-title":"Ontop-spatial: Ontop of geospatial databases","volume":"58","author":"Bereta","year":"2019","journal-title":"J. Web Semant."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"471","DOI":"10.3233\/SW-160217","article-title":"Ontop: Answering SPARQL queries over relational databases","volume":"8","author":"Calvanese","year":"2016","journal-title":"Semant. Web"},{"key":"ref_27","unstructured":"(2024, October 10). Assignment Mj\u00f8sa\u2014NTNU. Available online: https:\/\/www.ntnu.no\/oppdrag-mjosa."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Seneviratne, O., and Hendler, J. (2023). The Semantic Web: A New Form of Web Content that is Meaningful to Computers will Unleash a Revolution of New Possibilities. Linking the World\u2019s Information, ACM. [1st ed.].","DOI":"10.1145\/3591366"},{"key":"ref_29","unstructured":"(2024, July 16). W3C Semantic Web Activity Homepage. Available online: https:\/\/www.w3.org\/2001\/sw\/."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Allemang, D., Hendler, J., and Gandon, F. (2020). Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, RDFS, and OWL, ACM. [3rd ed.].","DOI":"10.1145\/3382097"},{"key":"ref_31","unstructured":"Noy, N., and McGuinness, D. (2024, June 26). Ontology Development 101: A Guide to Creating Your First Ontology. Available online: https:\/\/protege.stanford.edu\/publications\/ontology_development\/ontology101-noy-mcguinness.html."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1080\/15481603.2019.1587890","article-title":"Ontologies to interpret remote sensing images: Why do we need them?","volume":"56","author":"Arvor","year":"2019","journal-title":"GIScience Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Ding, L., Xiao, G., Pano, A., Fumagalli, M., Chen, D., Feng, Y., Calvanese, D., Fan, H., and Meng, L. (2024). Integrating 3D city data through knowledge graphs. Geo-Spat. Inf. Sci., 1\u201320.","DOI":"10.1080\/10095020.2024.2337360"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Vaisman, A., and Chentout, K. (2019). Mapping spatiotemporal data to RDF: A SPARQL endpoint for Brussels. ISPRS Int. J. Geo-Inf., 8.","DOI":"10.3390\/ijgi8080353"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"P\u00e1ez, O., and Vilches-Bl\u00e1zquez, L.M. (2022). Bringing Federated Semantic Queries to the GIS-Based Scenario. ISPRS Int. J. Geo-Inf., 11.","DOI":"10.3390\/ijgi11020086"},{"key":"ref_36","unstructured":"(2024, July 16). GeoSPARQL\u2014A Geographic Query Language for RDF Data. Open Geospatial Consort. Available online: https:\/\/www.ogc.org\/standard\/geosparql\/."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Li, W., Song, M., and Tian, Y. (2019). An Ontology-Driven Cyberinfrastructure for Intelligent Spatiotemporal Question Answering and Open Knowledge Discovery. ISPRS Int. J. Geo-Inf., 8.","DOI":"10.3390\/ijgi8110496"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Sack, H., Blomqvist, E., d\u2019Aquin, M., Ghidini, C., Ponzetto, S.P., and Lange, C. (2016). Ontology-Based Data Access for Maritime Security. The Semantic Web. Latest Advances and New Domains, Springer International Publishing.","DOI":"10.1007\/978-3-319-34129-3"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"100662","DOI":"10.1016\/j.websem.2021.100662","article-title":"Towards the next generation of the LinkedGeoData project using virtual knowledge graphs","volume":"71","author":"Ding","year":"2021","journal-title":"J. Web Semant."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Ding, L., Xiao, G., Calvanese, D., and Meng, L. (2020). A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9080474"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.websem.2017.05.005","article-title":"Ontology Based Data Access in Statoil","volume":"44","author":"Kharlamov","year":"2017","journal-title":"J. Web Semant."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.websem.2017.02.001","article-title":"Semantic access to streaming and static data at Siemens","volume":"44","author":"Kharlamov","year":"2017","journal-title":"J. Web Semant."},{"key":"ref_43","unstructured":"Ghosh, A., \u0160imkus, M., and Calvanese, D. (2023, January 18\u201320). Semantic Querying of Integrated Raster and Relational Data: A Virtual Knowledge Graph Approach. Proceedings of the 17th International Rule Challenge and 7th Doctoral Consortium@ RuleM+ RR, RuleML+ RR-Companion 2023, Oslo, Norway."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"101884","DOI":"10.1016\/j.compenvurbsys.2022.101884","article-title":"Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications","volume":"98","author":"Li","year":"2022","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_45","unstructured":"(2024, July 01). R2RML: RDB to RDF Mapping Language. Available online: https:\/\/www.w3.org\/TR\/r2rml\/."},{"key":"ref_46","unstructured":"(2024, July 01). Ontop. Available online: https:\/\/ontop-vkg.org\/."},{"key":"ref_47","unstructured":"(2024, July 02). Dybdekartbok 1984. Available online: https:\/\/gis3.nve.no\/metadata\/tema\/DKBok1984\/Dybdekart_1984.htm."},{"key":"ref_48","unstructured":"Mj\u00f8sa (2024, July 02). Wikipedia. Available online: https:\/\/en.wikipedia.org\/w\/index.php?title=Mj%C3%B8sa&oldid=1207624036."},{"key":"ref_49","unstructured":"(2024, July 02). Geonorge. Available online: https:\/\/www.geonorge.no\/."},{"key":"ref_50","unstructured":"(2024, July 02). The Norwegian Water Resources and Energy Directorate. Available online: https:\/\/www.nve.no\/english\/."},{"key":"ref_51","first-page":"91","article-title":"OGC API Standards for the Next Generation of Web Mapping","volume":"6","author":"Hobona","year":"2023","journal-title":"Abstr. ICA"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/14\/2\/52\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T10:37:47Z","timestamp":1759919867000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/14\/2\/52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,28]]},"references-count":51,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,2]]}},"alternative-id":["ijgi14020052"],"URL":"https:\/\/doi.org\/10.3390\/ijgi14020052","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,28]]}}}