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Research Article

A graph-based representation of knowledge for managing land administration data from distributed agencies – A case study of Colombia

ORCID Icon &
Pages 259-277 | Received 01 Sep 2021, Accepted 03 Dec 2021, Published online: 07 Jan 2022

Figures & data

Figure 1. The core of the National land administration model.

Figure 1. The core of the National land administration model.

Figure 2. The core of the Bogota land administration model.

Figure 2. The core of the Bogota land administration model.

Figure 3. The core of the LADM and multipurpose cadastre models.

Figure 3. The core of the LADM and multipurpose cadastre models.

Table 1. An example of an axiom definition

Table 2. Some examples of object and data properties added

Figure 4. An overview of our integrated proposal for the Colombian land administration.

Figure 4. An overview of our integrated proposal for the Colombian land administration.

Figure 5. The land administration data cycle.

Figure 5. The land administration data cycle.

Figure 6. An excerpt of land administration knowledge graphs.

Figure 6. An excerpt of land administration knowledge graphs.

Listing 1. Land property RDF data from tables

Listing 2. An excerpt of RDF data from shapefiles

Listing 3. An excerpt of RDF data from WFS

Listing 4. Spatial relations between RDF data

Listing 5. RDF data interlinked to DBpedia

Listing 6. RDF data interlinked to GeoNames and LinkedGeoData

Figure 7. An example of a query for integrating data from Bogota Cadastre & IGAC and its visualization of gathered results.

Figure 7. An example of a query for integrating data from Bogota Cadastre & IGAC and its visualization of gathered results.

Figure 8. An example of query integrating data from the Bogota Cadastre.

Figure 8. An example of query integrating data from the Bogota Cadastre.

Data availability statement

The knowledge graphs associated with this contribution are available on http://20.115.164.119:8089/parliament/.