TY - JOUR
T1 - A graph-based representation of knowledge for managing land administration data from distributed agencies–A case study of Colombia
AU - Vilches-Blázquez, Luis M.
AU - Saavedra, Jhonny
N1 - Publisher Copyright:
© 2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - Multiple efforts have been performed worldwide around diverse aspects of land administration. However, land administration data and systems’ notorious heterogeneity remains a longstanding challenge to develop a harmonized vision. In this sense, the traditional Spatial Data Infrastructures adoption is not enough to overcome this challenge since data sources’ heterogeneity implies needs related to harmonization interoperability, sharing, and integration in land administration development. This paper proposes a graph-based representation of knowledge for integrating multiple and heterogeneous data sources (tables, shapefiles, geodatabases, and WFS services) belonging to two Colombian agencies within a decentralized land administration scenario. These knowledge graphs are developed on an ontology-based knowledge representation using national and international standards for land administration. Our approach aims to prevent data isolation, enable cross-datasets integration, accomplish machine-processable data, and facilitate the reuse and exploitation of multi-jurisdictional datasets in a single approach. A real case study demonstrates the applicability of the land administration data cycle deployed.
AB - Multiple efforts have been performed worldwide around diverse aspects of land administration. However, land administration data and systems’ notorious heterogeneity remains a longstanding challenge to develop a harmonized vision. In this sense, the traditional Spatial Data Infrastructures adoption is not enough to overcome this challenge since data sources’ heterogeneity implies needs related to harmonization interoperability, sharing, and integration in land administration development. This paper proposes a graph-based representation of knowledge for integrating multiple and heterogeneous data sources (tables, shapefiles, geodatabases, and WFS services) belonging to two Colombian agencies within a decentralized land administration scenario. These knowledge graphs are developed on an ontology-based knowledge representation using national and international standards for land administration. Our approach aims to prevent data isolation, enable cross-datasets integration, accomplish machine-processable data, and facilitate the reuse and exploitation of multi-jurisdictional datasets in a single approach. A real case study demonstrates the applicability of the land administration data cycle deployed.
KW - Land administration
KW - data integration
KW - heterogeneity
KW - knowledge graph
KW - ontology
UR - http://www.scopus.com/inward/record.url?scp=85122476675&partnerID=8YFLogxK
U2 - 10.1080/10095020.2021.2015250
DO - 10.1080/10095020.2021.2015250
M3 - Artículo
AN - SCOPUS:85122476675
SN - 1009-5020
VL - 25
SP - 259
EP - 277
JO - Geo-Spatial Information Science
JF - Geo-Spatial Information Science
IS - 2
ER -