Publicaties

2022

Interoperability and Integration: An Updated Approach to Linked Data Publication at the Dutch Land Registry
Rowland, A., Folmer, E., Beek, W., & Wenneker, R. (2022). ISPRS international journal of geo-information, 11(1), [51], online toegang.
Formalisation of code lists and their values - The case of ISO 19152 Land Administration Domain Model
Kara, A., Rowland, A., van Oosterom, P., Stubkjær, E., Çağdaş, V., Folmer, E., Lemmen, C., Quak, W., Meggiolaro, L. (2022). In Proceedings of the 10th Land Administration Domain Model Workshop (LADM2022), online toegang.

2021

Demo: GeoDataWizard for linked spatial data creation
Rowland, A., Overeem, J., & Folmer, E. (2021). In: Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021) (pp. 13-17). (CEUR workshop proceedings; Vol. 2977), online toegang.
Spatial linked data in Europe: Report from spatial linked data sessions at knowledge graph in action
Bucher, B., Folmer, E., Brennan, R., Beek, W., Hbeich, E., Würriehausen, F., Rowland, L., Maturana, R. A., Alvarado, E., Buyle, R., & Di Donato, P. (2021). (73 ed.) (Official Publication - EuroSDR; No. 73), online toegang.

2020

Towards Self-Service GIS - Combining the Best of the Semantic Web and Web GIS
Alexandra Rowland, Erwin Folmer, Wouter Beek. In: ISPRS International Journal of Geo-Information, Vol 9, No. 12, 2020, online toegang.

2019

Kadaster Knowledge Graph: Beyond the Fifth Star of Open Data
Stanislav Ronzhin, Erwin Folmer, Pano Maria, Marco Brattinga, Wouter Beek, Rob Lemmens, Rein van’t Veer. In: Information, Vol. 10, No. 10, online toegang.
Enhancing the Usefulness of Open Governmental Data with Linked Data Viewing Techniques
Erwin Folmer, Wouter Beek, Laurens Rietveld, Stanislav Ronzhin, Rutger Geerling, Davey den Haan. In: Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019, online toegang.
Machine Learning for Geospatial Vector Data
Rein van ‘t Veer, Peter Bloem, Erwin Folmer. In: Deep Learning for Classification Tasks on Geospatial Vector Polygons, arXiv preprint arXiv:1806.03857, online toegang.

2018

Linked Data Viewing as part of the Spatial Data Platform of the Future
Erwin Folmer, Wouter Beek, Laurens Rietveld. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 42, No. 4, 2018, pp. 49-52, online toegang.
Adding 3D GIS Visualization and Navigation to the SPARQL Query Loop
Wouter Beek, Erwin Folmer, Laurens Rietveld, Tony Baving, Vincent Van Altena. In: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 42, 2018, online toegang, presentatie.

2017

Kadaster Data Platform ― Overview Architecture
Erwin Folmer, Wouter Beek. In: Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings, Vol. 17, No. 1, 2017, online toegang.
An Integrated Approach for Linked Data Browsing
Wouter Beek, Erwin Folmer. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017, pp. 35-38, online toegang.
GeoYASGUI: The GeoSPARQL Query Editor and Result Set Visualizer
Wouter Beek, Erwin Folmer, Laurens Rietveld, John Walker. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017, pp. 39-42, online toegang.

2015

Business Rationale for Linked Data at Governments: a case study at the Netherlands’ Kadaster Data Platform
Erwin Folmer, Stanislav Ronzhin, Jos Van Hillegersberg, Wouter Beek, Rob Lemmens. 2015. In: Access, online toegang.

Werkende Documenten

Brainstorm Document Machine Learning & Kadaster
In het kader van zijn onderzoek heeft Rein van ‘t Veer een document opgesteld met onderwerpen waar machine learning op geodata een bijdrage kan leveren.