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

Vilches‐Blázquez, Luis M.; Saavedra, Jhonny

doi:10.1080/10095020.2021.2015250

Cited by 2 publications

(1 citation statement)

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“…On the other hand, administrations have taken the path of standardization in this area [50], partly due to the development of technologies that make it possible [51] to move towards e-governance. Attempts to harmonize administrations have been crystallized in the ISO standard 19152 Land Administration Domain Model (LADM) [52], which in its work reflects the advances in data integration in Colombia. In the same way, synergies arise between different lines of technological development so that cadastral information is aided in the 3D concept supported by BIM [53].…”

Section: On Cadastral Information and Cadastral Place Namesmentioning

confidence: 99%

A Comparison of Cartographic and Toponymic Databases in a Multilingual Environment: A Methodology for Detecting Redundancies Using ETL and GIS Tools

Mitxelena-Hoyos

Amaro-Mellado

2023

IJGI

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Toponymy, a transversal discipline for geography, linguistics, and history, finds one of its main supports in cartography. Due to exhaustiveness on the territory, cadastral cartography and its toponymy have the ideal characteristics to develop systematic geographical analyses. Moreover, cadastre and geographical names are part of the geographic reference data according to Annex 1 of the INSPIRE directive. This work presents the design, implementation, and application of a methodology based on Geographic Information Systems and Extract, Transform, and Load (ETL) tools for detecting coincidences between the cadastral geoinformation and the official gazetteer corresponding to the province of Gipuzkoa, Spain. Methodologically, this study proposes a solution to the issues raised by bilingualism in the study area. This problem is approached a priori, in the previous data treatment, and a posteriori, applying semantic criteria. The results show a match between the datasets of close to 40%. In this way, the uniqueness and richness of the analyzed source and its outstanding contribution to the potential integration of the official toponymic corpus are evidenced.

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