Abstract
Kadaster, the Dutch National Land Registry and Mapping Agency, has been actively publishing their base registries as linked (open) spatial data for several years. To date, a number of these base registers as well as a number of external datasets have been successfully published as linked data and are publicly available. Increasing demand for linked data products and the availability of new linked data technologies have highlighted the need for a new, innovative approach to linked data publication within the organisation in the interest of reducing the time and costs associated with said publication. The new approach to linked data publication is novel in both its approach to dataset modelling, transformation, and publication architecture. In modelling whole datasets, a clear distinction is made between the Information Model and the Knowledge Model to capture both the organisation-specific requirements and to support external, community standards in the publication process. The publication architecture consists of several steps where instance data are loaded from their source as GML and transformed using an Enhancer and published in the triple store. Both the modelling and publication architecture form part of Kadaster’s larger vision for the development of the Kadaster Knowledge Graph through the integration of the various linked datasets.
Highlights
The Dutch Cadastre, Land Registry and Mapping Agency, Kadaster, is the authoritative source of information relating to administrative and spatial data surrounding property and ownership rights in the Netherlands
At the time that this paper was originally submitted for presentation at the 4th International Workshop on Geospatial Linked Data at the EWSC 2021 conference [1], two of these geospatial assets had been published as linked data
There are currently four key registers (complete list: Key Register for Large-Scale Topography (Dutch acronym: BGT), the Key Register for Addresses and Buildings (Dutch acronym: BAG), the Key Register for Topography (Dutch acronym: BRT), and Key Register Kadaster (Dutch acronym: BRK) which are the registration of immovable property rights and the boundaries of national government, provinces, and municipalities in the Netherlands.) maintained by Kadaster and two other/external datasets (complete list: Central Bureau for Statistics (CBS) Key Figures District and Neighbourhood (Dutch acronym: CBS KWB) and the National Service for Cultural Heritage (Dutch acronym: RCE) Monument Register.) that have been transformed and published as linked open data using the approach detailed in this paper
Summary
The Dutch Cadastre, Land Registry and Mapping Agency, Kadaster (www.kadaster.nl), is the authoritative source of information relating to administrative and spatial data surrounding property and ownership rights in the Netherlands. The organisation actively publishes and maintains these and other geospatial assets as linked (open) data and, as part of this effort, and in the spirit of continuous innovation, several of these geospatial assets have been republished as linked open data following a new approach as discussed in this paper. At the time that this paper was originally submitted for presentation at the 4th International Workshop on Geospatial Linked Data at the EWSC 2021 conference [1], two of these geospatial assets had been published as linked data. The formulation and implementation of this new approach within Kadaster were motivated by the increased demand for linked data products, both internally and externally, to be delivered in a time- and cost-efficient manner. Having made several datasets available through this approach and by having first implementation of the knowledge graph available at Kadaster, this paper will offer an evaluation and a lessons learned perspective on the approach presented in this paper
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