1,967
Views
2
CrossRef citations to date
0
Altmetric
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

References

  • Bank, W. 2019. Colombia – Multipurpose Cadastre Project. Washington, D.C.: World Bank Group. Accessed 30 October 2021. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/378461551367139801/colombia-multipurpose-cadastre-project
  • Bellomarini, L., E. Sallinger, and S. Vahdati. 2020. “Knowledge Graphs: The Layered Perspective.” In Knowledge Graphs and Big Data Processing, edited by V. Janev, D. Graux, H. Jabeen, and E. Sallinger, 20–34. Springer. LNCS 12072. Accessed December 13 2021. doi:10.1007/978-3-030-53199-7_2.
  • Berners-Lee, T. 2006. “Linked Data Design Issues.” Accessed 26 October 2021. https://www.w3.org/DesignIssues/LinkedData.html
  • Borzacchiello, M.T., and M. Craglia. 2013. “Estimating Benefits of Spatial Data Infrastructures: A Case Study on e-Cadastres.” Computers, Environment and Urban Systems 41: 276–288. doi:10.1016/j.compenvurbsys.2012.05.004.
  • Çağdaş, V., and E. Stubkjær. 2015a. “A SKOS Vocabulary for Linked Land Administration: Cadastre and Land Administration Thesaurus.” Land Use Policy 49: 668–679. doi:10.1016/j.landusepol.2014.12.017.
  • Çağdaş, V., and E. Stubkjær. 2015b. “Core Immovable Property Vocabulary for European Linked Land Administration.” Survey Review 47 (340): 49–60. doi:10.1179/1752270614Y.0000000093.
  • Chen, Y., S. Sabri, A. Rajabifard, and M.E. Agunbiade. 2018. “An Ontology-based Spatial Data Harmonisation for Urban Analytics.” Computers, Environment and Urban Systems 72: 177–190. doi:10.1016/j.compenvurbsys.2018.06.009.
  • Cudré-Mauroux, P. 2020. “Leveraging Knowledge Graphs for Big Data Integration: The XI Pipeline.” Semantic Web 11 (1): 13–17. doi:10.3233/SW-190371.
  • Díaz, A.A., and L.M. Vilches-Blázquez. 2014. “Cadastral Linked Data according to INSPIRE.” In INSPIRE Conference. Aalborg.
  • Doan, A., A.Y. Halevy, and Z.G. Ives. 2012. Principles of Data Integration. Amsterdam: Morgan Kaufmann.
  • Ehrlinger, L., and W. Wöß. 2016. “Towards a Definition of Knowledge Graphs.” SEMANTiCS, Vol. 48. Accessed 26 October 2021. http://ceur-ws.org/Vol-1695/paper4.pdf
  • FGDC (Federal Geographic Data Committee). 2008a. “Cadastral Data Content Standard for the National Spatial Data Infrastructure.” Version 1.4. Subcommittee on Cadastral Data Federal Geographic Data Committee. Accessed 30 October 2021. http://nationalcad.org/download/cadastral-data-content-standard-ver-1-4.pdf
  • FGDC (Federal Geographic Data Committee). 2008b. “Geographic Information Framework Data Standard Part 1, Cadastral.” Subcommittee on Cadastral Data Federal Geographic Data Committee. Accessed 26 October 2021. https://www.fgdc.gov/standards/projects/framework-data-standard/GI_FrameworkDataStandard_Part1_Cadastral.pdf
  • FIG - International Federation of Surveyors. (1998). “Cadastre 2014: A Vision for Future Cadastral Systems.” Accessed 06 November 2021. https://www.fig.net/resources/publications/figpub/cadastre2014/translation/c2014-english.pdf
  • Folmer, E., W. Beek, and L. Rietveld. 2018. “Linked Data Viewing as Part of the Spatial Data Platform of the Future.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W8: 49–52. doi:10.5194/isprs-archives-XLII-4-W8-49-2018.
  • Fonseca, F.T., M.J. Egenhofer, P. Agouris, and G. Câmara. 2002. “Using Ontologies for Integrated Geographic Information Systems.” Transactions in GIS 6 (3): 231–257. doi:10.1111/1467-9671.00109.
  • Giuliani, G., P. Lacroix, Y. Guigoz, R. Roncella, L. Bigagli, M. Santoro, A. Lehmann, S. Nativi, N. Ray, and A. Lehmann. 2017. “Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures.” Transactions in GIS 21 (4): 811–824. doi:10.1111/tgis.12209.
  • Golshan, B., A.Y. Halevy, G.A. Mihaila, and W. Tan. 2017. “Data Integration: After the Teenage Years.” In Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2017, 101–106. Chicago, IL, USA, May 14–19. doi:10.1145/3034786.3056124.
  • Gruber, T. 1993. “Toward Principles for the Design of Ontologies Used for Knowledge Sharing.” International Journal Human-Computer Studies 43: 907–928. doi:10.1006/ijhc.1995.1081.
  • Guarín, A., L. Baron, L. Jenni, and S. Salamanca. 2017. “LADM-A Tool for Land Administration in Post-Conflict Colombia.” In FIG Working Week 2017. Accessed 30 October 2021. https://www.fig.net/resources/proceedings/fig_proceedings/fig2017/papers/iss3b/ISS3B_guarin_baron_et_al_8766_abs.pdf
  • Hakimi, O., J.L. Gelpi, M. Krallinger, F. Curi, D. Repchevsky, and M.P. Ginebra. 2020. “The Devices, Experimental Scaffolds, and Biomaterials Ontology (DEB): A Tool for Mapping, Annotation, and Analysis of Biomaterials Data.” Advanced Functional Materials 30 (16): 1909910. doi:10.1002/adfm.201909910.
  • Hakimpour, F., and S. Timpf. 2001. “Using Ontologies for Resolution of Semantic Heterogeneity in GIS.” In Proceedings of 4th AGILE Conference on Geographic Information Science, 385–395. Brno, Czech Republic, April 19–21.
  • Heath, T., and C. Bizer. 2011. Linked Data: Evolving the Web into a Global Data Space. San Rafael, CA: Morgan & Claypool.
  • Hess, C., and M. de Vries. 2006. “From Models to Data: A Prototype Query Translator for the Cadastral Domain.” Computers, Environment and Urban Systems 30 (5): 529–542. doi:10.1016/j.compenvurbsys.B2005.08.008.
  • Huang, W., and L. Harrie. 2019. “Towards Knowledge-based Geovisualisation Using Semantic Web Technologies: A Knowledge Representation Approach Coupling Ontologies and Rules.” International Journal of Digital Earth 13 (9): 976–997. doi:10.1080/17538947.2019.1604835.
  • INSPIRE. 2014. Data Specification on Cadastral Parcels – Technical Guidelines. version 3.1. Accessed 30 October 2021. https://inspire.ec.europa.eu/id/document/tg/cp
  • ISO. 2005. “ISO 19110, Geographic Information – Methodology for Feature Cataloguing.” Accessed 30 October 2021. https://www.iso.org/standard/39965.html
  • ISO. 2012. “ISO 19152, Geographic Information – Land Administration Domain Model (LADM).” Accessed 30 October 2021. http://www.iso.org/iso/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber=51206
  • ISO. 2015. “ISO 19150-2:2015 Geographic Information – Ontology – Part 2: Rules for Developing Ontologies in the Web Ontology Language (OWL).” Accessed 30 October 2021. https://www.iso.org/standard/57466.html
  • Jenni, L., M. Germann, C. Eisenhut, A. Guarin, and M. V. Bajo. 2017. “LADM Implementation in Colombia – Process, Methodology and Tools developed and applied.” In FIG Working Week 2017, Helsinki, Finland. Accessed 30 October 2021. https://www.fig.net/resources/proceedings/fig_proceedings/fig2017/papers/ts05e/TS05E_jenni_bajo_perez_et_al_8853_abs.pdf
  • Jung, C.-T., C.-H. Sun, and M. Yuan. 2013. “An Ontology-enabled Framework for a Geospatial Problem-solving Environment.” Computers, Environment and Urban Systems 38: 45–57. doi:10.1016/j.compenvurbsys.2012.10.008.
  • Kalantari, M., K. Dinsmore, J. Urban-Karr, and A. Rajabifard. 2015. “A Roadmap to Adopt the Land Administration Domain Model in Cadastral Information Systems.” Land Use Policy 49: 552–564. doi:10.1016/j.landusepol.2014.12.019.
  • Kejriwal, M. 2019. “What Is a Knowledge Graph?” In Domain-Specific Knowledge Graph Construction, 1–7. Cham: Springer . Springer. Briefs in Computer Science. doi:10.1007/978-3-030-12375-8_1.
  • Krötzsch, M., and V. Thost. 2016. “Ontologies for Knowledge Graphs: Breaking the Rules.” In International Semantic Web Conference, 376–392. Cham: Springer. doi:10.1007/978-3-319-46523-4_23.
  • Lehmann, J., R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas, P.N. Mendes, S. Hellmann, et al. 2015. “DBpedia–a Large-scale, Multilingual Knowledge Base Extracted from Wikipedia.” Semantic Web 6 (2): 167–195. doi:10.3233/SW-140134.
  • Lemmen, C., P. van Oosterom, M. Kalantari, E.-M. Unger, and C. de Zeeuw. 2018. OGC White Paper on Land Administration. Accessed 30 October 2021. https://portal.opengeospatial.org/files/?artifact_id=77835&version=2
  • Lenzerini, M. 2002. “Data Integration: A Theoretical Perspective.” In Proceedings of the Twenty First ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 233–246. Madison, Wisconsin, USA, June 3–5. doi:10.1145/543613.543644.
  • Li, M., X. Zhu, C. Shen, D. Chen, and W. Guo. 2012. “The Development of Cadastral Domain Model Oriented at Unified Real Estate Registration of China Based on Ontology.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-2: 209–215. doi:10.5194/isprsannals-I-2-209-2012.
  • Lutz, M., J. Sprado, E. Klien, C. Schubert, and I. Christ. 2009. “Overcoming Semantic Heterogeneity in Spatial Data Infrastructures.” Computers & Geosciences 35 (4): 739–752. doi:10.1016/j.cageo.2007.09.017.
  • McDonald, J., and M. Levine-Clark, Eds. 2017. Encyclopedia of Library and Information Sciences. 4th ed. Boca Raton, FL: CRC Press. doi:10.1081/E-ELIS4.
  • Noy, N.F. 2004. “Semantic Integration: A Survey of Ontology-based Approaches.” ACM Sigmod Record 33 (4): 65–70. doi:10.1145/1041410.1041421.
  • Noy, N., Y. Gao, A. Jain, A. Narayanan, A. Patterson, and J. Taylor. 2019. “Industry-scale Knowledge Graphs: Lessons and Challenges.” Queue 17 (2): 48–75. doi:10.1145/3331166.
  • Palicot, S., and L. Daniel. 2019. “A New Approach for the Establishment of A Regional Multipurpose Cadastre in La Mojana, Colombia – How to Overcome Large Scale Cadastral Operations Challenges through Technological and Methodological Innovation.” In 2019 World Bank Conference on Land and Poverty. Washington DC: The World Bank.
  • Paulheim, H. 2017. “Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods.” Semantic Web 8 (3): 489–508. doi:10.3233/SW-160218.
  • Perry, M., and J. Herring. (Eds.) 2012. GeoSPARQL: A Geographic Query Language for RDF Data. Accessed 30 October 2021. https://portal.opengeospatial.org/files/?artifact_id=47664
  • Ponsard, C., and M. Touzani. 2019. “Goal-Oriented Analysis and Design of Land Administration Systems.” In Geographical Information Systems Theory, Applications and Management. GISTAM 2017. Communications in Computer and Information Science, edited by L. Ragia, R. Laurini, and J. Rocha, 936. Switzerland: Springer. doi:10.1007/978-3-030-06010-7_7.
  • Poveda-Villalón, M., A. Gómez-Pérez, and M.C. Suárez-Figueroa. 2014. “Oops!(ontology Pitfall Scanner!): An On-line Tool for Ontology Evaluation.” International Journal on Semantic Web and Information Systems (IJSWIS) 10 (2): 7–34. doi:10.4018/ijswis.2014040102.
  • Poveda, M., M.C. Suárez-Figueroa, and A. Gómez-Pérez. 2010. “A Double Classification of Common Pitfalls in Ontologies.” In OntoQual 2010 - Workshop on Ontology Quality at the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010). CEUR Workshop Proceedings, 1–12. Lisbon, Portugal. Accessed 30 October 2021. https://core.ac.uk/download/pdf/148655722.pdf
  • Psyllidis, A., A. Bozzon, S. Bocconi, and C.T. Bolivar. 2015. “A Platform for Urban Analytics and Semantic Data Integration in City Planning.” In Computer-Aided Architectural Design Futures. The Next City – New Technologies and the Future of the Built Environment. CAAD Futures 2015. Communications in Computer and Information Science, edited by G. Celani, D. Sperling, and J. Franco, 527. Berlin, Heidelberg: Springer. doi:10.1007/978-3-662-47386-3_2.
  • Rajabifard, A., S. Ho, and S. Soheil. 2016. “Urban Analytics Data Infrastructure: Critical SDI for Urban Management in Australia.” In GSDI15 World Conference. Accessed 30 October 2021. http://gsdiassociation.org/images/gsdi15/refereed/82-157.pdf
  • Rector, A.L., N. Drummond, M. Horridge, J.D. Rogers, H. Knublauch, R. Stevens, H. Wang, and C. Wroe. 2004. “OWL Pizzas: Practical Experience of Teaching OWL-DL: Common Errors & Common Patterns.” In Ekaw 2004. Lncs (Lnai) 3257, edited by E. Motta, N.R. Shadbolt, A. Stutt, and N. Gibbins, 63–81. Berlin Heidelberg (Germany): Springer. doi:10.1007/978-3-540-30202-5_5.
  • Rodriguez, S., D. Páez, and A. Rajabifard. 2017. “Analysis of the Implementation of Multipurpose Cadastre in Colombia Based on International Experiences.” In World Bank Conference on Land and Poverty. Washington DC: The World Bank, March 20 –24.
  • Ronzhin, S., E. Folmer, P. Maria, M. Brattinga, W. Beek, R. Lemmens, and R. Van’t Veer. 2019. “Kadaster Knowledge Graph: Beyond the Fifth Star of Open Data.” Information 10 (10): 310. doi:10.3390/info10100310.
  • Saavedra, J., L.M. Vilches-Blázquez, and A. Boada. 2014. “Cadastral Data Integration through Linked Data.” In Connecting a Digital Europe through Location and Place. Proceedings of the AGILE’2014 International Conference on Geographic Information Science, edited by J. Huerta, S. Schade, and C. Granell.
  • Seneviratne, O., S.M. Rashid, S. Chari, J.P. McCusker, K.P. Bennett, J.A. Hendler, and D.L. McGuinness. 2018. “Knowledge Integration for Disease Characterization: A Breast Cancer Example.” In International Semantic Web Conference, 223–238. Springer. doi:10.1007/978-3-030-00668-6_14.
  • Shekhar, S., H. Xiong, and X. Zhou. (Eds.). 2017. “WFS.” In Encyclopedia of GIS, 2504-2504. Switzerland: Springer International Publishing. doi:10.1007/978-3-319-17885-1_1479.
  • Shi, L., and D. Roman. 2018. “Ontologies for the Real Property Domain.” In Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics (WIMS’18), edited by R. Akerkar, M. Ivanović, S.-W. Kim, Y. Manolopoulos, R. Rosati, M. Savić, C. Badica, and M Radovanović. New York: ACM. doi:10.1145/3227609.3227661.
  • Shi, L., D. Sukhobok, N. Nikolov, and D. Roman. 2017. “Norwegian State of Estate Report as Linked Open Data.” In OTM Confederated International Conferences” on the Move to Meaningful Internet Systems, 445–462. Cham: Springer. doi:10.1007/978-3-319-69459-7.
  • Siricharoen, W.V., and U. Pakdeetrakulwong. 2014. “A Survey on Ontology-driven Geographic Information Systems.” In 2014 Fourth International Conference on Digital Information and Communication Technology and Its Applications (DICTAP), 180–185. IEEE. doi:10.1109/DICTAP.2014.6821679.
  • Sladić, D., A. Radulović, M. Govedarica, D. Jovanović, and D. Pržulj. 2015. “The Use of Ontologies in Cadastral Systems.” Computer Science and Information Systems 12 (3): 1033–1053. doi:10.2298/CSIS141031009S.
  • Soon, K.H. 2013. “Representing Roles in Formalizing Domain Ontology for Land Administration.” In 5th Land Administration Domain Model Workshop. Kuala Lumpur, Malaysia. Accessed 30 October 2021. https://www.fig.net/resources/proceedings/2013/2013_ladm/14_1.pdf
  • Stuckenschmidt, H., U. Visser, G. Schuster, and T. Vögele. 1999. “Ontologies for Geographic Information Integration.” In Proceedings of the Workshop Intelligent Methods for Handling Environmental Information: Special Aspects of Processing Space and Time. Magdeburg, Germany.
  • Suárez-Figueroa, M.C., A. Gómez-Pérez, E. Motta, and A. Gangemi, Eds. 2012. Ontology Engineering in a Networked World. Heidelberg: Springer. doi:10.1007/978-3-642-24794-1.
  • Tandy, J., L. van den Brink, and P. Barnaghi. (Ed.). 2017. Spatial Data on the Web Best Practices, W3C Working Group Note. Accessed 30 October 2021. https://www.w3.org/TR/sdw-bp/
  • UNECE. 1996. Land Administration Guidelines. With Special Reference to Countries in Transition. Geneva, Switzerland: United Nations/Economic Commission for Europe.
  • van den Brink, L., P. Janssen, W. Quak, and J. Stoter. 2017. “Towards a High Level of Semantic Harmonisation in the Geospatial Domain.” Computers, Environment and Urban Systems 62: 233–242. doi:10.1016/j.compenvurbsys.2016.12.002.
  • van Oosterom, P., and C. Lemmen. 2015. “The Land Administration Domain Model (LADM): Motivation, Standardisation, Application and Further Development.” Land Use Policy 49: 527–534. doi:10.1016/j.landusepol.2015.09.032.
  • van Oosterom, P., C. Lemmen, T. Ingvarsson, P. van der Molen, H. Ploeger, W. Quak, J. Stoter, and J. Zevenbergen. 2006. “The Core Cadastral Domain Model.” Computers, Environment and Urban Systems 30 (5): 627–660. doi:10.1016/j.compenvurbsys.2005.12.002.
  • Verlic, M. 2012. “LODGrefine-LOD-enabled Google Refine in Action.” In I-SEMANTICS (Posters & Demos), Graz, Austria, 31–37.
  • Vilches-Blázquez, L.M., B. Villazón-Terrazas, O. Corcho, and A. Gómez-Pérez. 2014. “Integrating Geographical Information in the Linked Digital Earth.” International Journal of Digital Earth 7 (7): 554–575. doi:10.1080/17538947.2013.783127.
  • Vilches-Blázquez, L.M., and J. Saavedra. 2019. “A Framework for Connecting Two Interoperability Universes: OGC Web Feature Services and Linked Data.” Transactions in GIS 23: 22–47. doi:10.1111/tgis.12496.
  • Wache, H., T. Voegele, U. Visser, H. Stuckenschmidt, G. Schuster, H. Neumann, and S. Huebner. 2001. “Ontology-based Integration of Information – A Survey of Existing Approaches.” In Proceedings of the workshop on Ontologies and Information Sharing at the International Joint Conference on Artificial Intelligence (IJCAI), 108–117. Accessed 30 October 2021. http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-47/wache.pdf
  • Williamson, I.P., S. Enemark, J. Wallace, and A. Rajabifard. 2010. Land Administration for Sustainable Development. Redlands, CA: ESRI Press.