9,433
Views
29
CrossRef citations to date
0
Altmetric
Research Articles

Geospatial data ontology: the semantic foundation of geospatial data integration and sharing

ORCID Icon, , , , , & ORCID Icon show all
Pages 269-296 | Received 30 May 2019, Accepted 25 Aug 2019, Published online: 16 Sep 2019

References

  • Agarwal, P. (2005). Ontological considerations in GIScience. International Journal of Geographical Information Science, 19(5), 501–536.
  • Andrade, F. G. D., Baptista, C. D. S., & Davis, C. A. (2014). Improving geographic information retrieval in spatial data infrastructures. GeoInformatica, 18(4), 793–818.
  • Baglioni, M., Giovannetti, E., Masserotti, M. V., Renso, C., & Spinsanti, L. (2008). Ontology supported querying of geographical databases. Transactions in GIS, 12, 31–44.
  • Bittner, T., Donnelly, M., & Smith, B. (2009). A spatio-temporal ontology for geographic information integration. International Journal of Geographical Information Science, 23(6), 765–798.
  • Brodeur, J., Bedard, Y., Edwards, G., & Moulin, B. (2010). Revisiting the concept of geospatial data interoperability within the scope of human communication processes. Transactions in GIS, 7(2), 243–265.
  • Buccella, A., Cechich, A., & Fillottrani, P. (2009). Ontology-driven geographic information integration: A survey of current approaches. Computers and Geosciences, 35(4), 710–723.
  • Buccella, A., Cechich, A., Gendarmi, D., Lanubile, F., Semeraro, G., & Colagrossi, A. (2011). Building a global normalized ontology for integrating geographic data sources. Computers & Geosciences, 37(7), 893–916.
  • Budak Arpinar, I., Sheth, A., Ramakrishnan, C., Lynn Usery, E., Azami, M., & Kwan, M.-P. (2006). Geospatial ontology development and semantic analytics. Transactions in GIS, 10(4), 551–575.
  • Chen, N., Chen, Z., Hu, C., & Di, L. (2011). A capability matching and ontology reasoning method for high precision OGC web service discovery. International Journal of Digital Earth, 4(6), 449–470.
  • Chen, Y., Sabri, S., Rajabifard, A., & Agunbiade, M. E. (2018). An ontology-based spatial data harmonisation for urban analytics. Computers, Environment and Urban Systems, 72, 177–190.
  • Comber, A., Fisher, P., & Wadsworth, R. (2011). Integrating land-cover data with different ontologies: Identifying change from inconsistency. International Journal of Geographical Information Science, 18(7), 691–708.
  • Couclelis, H. (2010). Ontologies of geographic information. International Journal of Geographical Information Science, 24(12), 1785–1809.
  • Dean, D. J. (2007). Characterizing spatial databases via their derivation: A complement to content ontologies. Transactions in GIS, 11(3), 399–412.
  • Deliiska, B. (2007). Thesaurus and domain ontology of geoinformatics. Transactions in GIS, 11(4), 637–651.
  • Fallahi, G. R., Frank, A. U., Mesgari, M. S., & Rajabifard, A. (2008). An ontological structure for semantic interoperability of GIS and environmental modeling. International Journal of Applied Earth Observations and Geoinformation, 10(3), 342–357.
  • Fast, V., & Rinner, C. (2018). Toward a participatory VGI methodology: Crowdsourcing information on regional food assets. International Journal of Geographical Information Science, 32(11), 2209–2224.
  • Fernández-López, M., Poveda-Villalón, M., Suárez-Figueroa, M. C., & Gómez-Pérez, A. (2018). Why are ontologies not reused across the same domain? Journal of Web Semantics, 57.
  • Fonseca, F. T., Egenhofer, M. J., Agouris, P., & Camara, G. (2002). Using ontologies for integrated geographic information systems. Transactions in GIS, 6(3), 231–257.
  • Fonseca, F. T., Egenhofer, M. J., Davis, C. A., & Borges, K. A. V. (2000). Ontologies and knowledge sharing in urban GIS. Computers Environment & Urban Systems, 24(3), 251–272.
  • Fonseca, R. L., & Llano, E. G. (2011). Automatic representation of geographical data from a semantic point of view through a new ontology and classification techniques. Transactions in GIS, 15(1), 61–85.
  • Frank, A. U. (2001). Tiers of ontology and consistency constraints in geographical information systems. International Journal of Geographical Information Systems, 15(7), 667–678.
  • Goh, C. H. (1997). Representing and reasoning about semantic conflicts in heterogeneous information systems. Cambridge: Massachusetts Institute of Technology.
  • Goldberg, D. W., Wilson, J. P., & Knoblock, C. A. (2009). Extracting geographic features from the internet to automatically build detailed regional gazetteers. International Journal of Geographical Information Science, 23(1), 93–128.
  • Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2), 199–220.
  • Gui, Z., Yang, C., Xia, J., Liu, K., Xu, C., Li, J., & Lostritto, P. (2013). A performance, semantic and service quality-enhanced distributed search engine for improving geospatial resource discovery. International Journal of Geographical Information Science, 27(6), 1109–1132.
  • Hahmann, T., & Stephen, S. (2018). Using a hydro-reference ontology to provide improved computer-interpretable semantics for the groundwater markup language (GWML2). International Journal of Geographical Information Science, 32(6), 1138–1171.
  • Hakimpour, F. (2003). Using ontologies to resolve semantic heterogeneity for integrating spatial database schemata. Zurich, Switzerland: University of Zurich.
  • Hong, J.-H., & Kuo, C.-L. (2015). A semi-automatic lightweight ontology bridging for the semantic integration of cross-domain geospatial information. International Journal of Geographical Information Science, 29(12), 2223–2247.
  • Hou, Z., Zhu, Y., Gao, X., Pan, P., Luo, K., & Wang, D. (2015). Time-ontology and its application in geodata retrieval. Journal of Geo-information Science, 17(4), 379–390. in Chinese.
  • Hu, Y., Janowicz, K., Carral, D., Scheider, S., Kuhn, W., Berg-Cross, G., ... Kolas, D. (2013). A geo-ontology design pattern for semantic trajectories. International Conference on Spatial Information Theory, 8116, 438–456.
  • Hu, Y. (2017). Geospatial semantics. In B. Huang, Ed., Comprehensive geographic information systems (pp. 80-94). Oxford: Elsevier.
  • Hu, Y. (2018). Geo‐text data and data‐driven geospatial semantics. Geography Compass, 12(11), e12404.
  • Hu, Y., Gao, S., Janowicz, K., Yu, B., Li, W., & Prasad, S. (2015). Extracting and understanding urban areas of interest using geotagged photos. Computers, Environment and Urban Systems, 54, 240–254.
  • Hu, Y., Mao, H., & McKenzie, G. (2018). A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements. International Journal of Geographical Information Science, 33(4), 714–738.
  • Kalbasi, R., Janowicz, K., Reitsma, F., Boerboom, L., & Alesheikh, A. (2014). Collaborative ontology development for the geosciences. Transactions in GIS, 18(6), 834–851.
  • Klien, E., Lutz, M., & Kuhn, W. (2006). Ontology-based discovery of geographic information services—An application in disaster management. Computers Environment & Urban Systems, 30(1), 102–123.
  • Kuhn, W. (2003). Semantic reference systems. International Journal of Geographical Information Science, 17(5), 405–409.
  • Kuo, C. L., & Hong, J. H. (2016). Interoperable cross-domain semantic and geospatial framework for automatic change detection. Computers & Geosciences, 86, 109–119.
  • Li, L., Liu, Y., Zhu, H., Ying, S., Luo, Q., Luo, H., … Shen, H. (2017a). A bibliometric and visual analysis of global geo-ontology research. Computers & Geosciences, 99, 1–8.
  • Li, N., Raskin, R., Goodchild, M., & Janowicz, K. (2012). An ontology driven framework and web portal for spatial decision support. Transactions in GIS, 16(3), 313–329.
  • Li, W., Zhu, Y., Song, J., Sun, K., & Yang, J. (2017b). Geospatial data provenance-ontology and its application in data linking. Journal of Geo-information Science, 19(10), 1261–1269. in Chinese.
  • Li, W., Goodchild, M. F., & Raskin, R. (2014). Towards geospatial semantic search: Exploiting latent semantic relations in geospatial data. International Journal of Digital Earth, 7(1), 1–21.
  • Li, W., Yang, C., Nebert, D., Raskin, R., Houser, P., Wu, H., & Li, Z. (2015). Semantic-based web service discovery and chaining for building an Arctic spatial data infrastructure. Computers & Geosciences, 37(11), 1752–1762.
  • Liu, Y., Li, L., Shen, H., Yang, H., & Luo, F. (2018). A co-citation and cluster analysis of scientometrics of geographic information ontology. ISPRS International Journal of Geo-Information, 7(3), 120–133.
  • Lutz, M. (2007). Ontology-based descriptions for semantic discovery and composition of geoprocessing services. GeoInformatica, 11(1), 1–36.
  • Lutz, M., & Klien, E. (2006). Ontology‐based retrieval of geographic information. International Journal of Geographical Information Science, 20(3), 233–260.
  • Macário, C. G. N., de Sousa, S. R., & Medeiros, C. B. (2009). Annotating geospatial data based on its semantics. Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 81–90), Seattle, WA.
  • Miller, H. J., & Goodchild, M. F. (2015). Data-driven geography. GeoJournal, 80(4), 449–461.
  • Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. Knowledge Systems Laboratory, Stanford University.
  • Peachavanish, R., & Karimi, H. A. (2007). Ontological engineering for interpreting geospatial queries. Transactions in GIS, 11(1), 115–130.
  • Peuquet, D. J. (2002). Representations of space and time. New York, NY: Guilford Press.
  • Ram, S., & Liu, J. (2009). A new perspective on semantics of data provenance. Proceedings of the First International Conference on Semantic Web in Provenance Management-Volume 526 (pp. 35–40), Washington, DC.
  • Reitsma, F., Laxton, J., Ballard, S., Kuhn, W., & Abdelmoty, A. (2009). Semantics, ontologies and eScience for the geosciences. Computers & Geosciences, 35(4), 706–709.
  • Schuurman, N., & Leszczynski, A. (2006). Ontology‐based metadata. Transactions in GIS, 10(5), 709–726.
  • Senaratne, H., Mobasheri, A., Ali, A. L., Capineri, C., & Haklay, M. (2017). A review of volunteered geographic information quality assessment methods. International Journal of Geographic Information Science, 31(1), 139–167.
  • Stock, K., Karasova, V., Robertson, A., Roger, G., Small, M., Bishr, M., … Gardner, Z. (2013). Finding science with science: Evaluating a domain and scientific ontology user interface for the discovery of scientific resources. Transactions in GIS, 17(4), 612–639.
  • Stock, K., Stojanovic, T., Reitsma, F., Ou, Y., Bishr, M., Ortmann, J., & Robertson, A. (2012). To ontologise or not to ontologise: An information model for a geospatial knowledge infrastructure. Computers & Geosciences, 45(4), 98–108.
  • Studer, R., Benjamins, V. R., & Fensel, D. (1998). Knowledge engineering: principles and methods. Data & Knowledge Engineering, 25(1), 161–197.
  • Sun, K., Zhu, Y., Pan, P., Luo, K., Wang, D., & Hou, Z. (2016). Research on morphology-ontology and its application in geospatial data discovery. Journal of Geo-information Science, 18(8), 1011–1021. in Chinese.
  • Sun, K., Zhu, Y., & Song, J. (2019). Progress and challenges on entity alignment of geographic knowledge bases. ISPRS International Journal of Geo-Information, 8(2), 77–101.
  • Sun, S., Wang, L., Ranjan, R., & Wu, A. (2015). Semantic analysis and retrieval of spatial data based on the uncertain ontology model in digital earth. International Journal of Digital Earth, 8(1), 3–16.
  • Uitermark, H. T., van Oosterom, P. J. M., Mars, N. J. I., & Molenaar, M. (2005). Ontology-based integration of topographic data sets. International Journal of Applied Earth Observations & Geoinformation, 7(2), 97–106.
  • Varanka, D. E., & Usery, E. L. (2018). The map as knowledge base. International Journal of Cartography, 4(2), 201–223.
  • Wache, H., Voegele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H., & Hübner, S. (2001). Ontology-based integration of information – A survey of existing approaches. Proceedings of IJCAI-01 Workshop on Ontologies and Information Sharing, Seattle, WA.
  • Wang, C., Ma, X., & Chen, J. (2018). Ontology-driven data integration and visualization for exploring regional geologic time and paleontological information. Computers & Geosciences, 115, 12–19.
  • Wang, D., Zhu, Y., Pan, P., Luo, K., & Hou, Z. (2016). Construction of geodata spatial ontology and its application in data retrieval. Journal of Geo-information Science, 18(4), 443–452. in Chinese.
  • Wang, X., Gu, W., Ziebelin, D., & Hamilton, H. (2010). An ontology-based framework for geospatial clustering. International Journal of Geographical Information Science, 24(11), 1601–1630.
  • Wiegand, N., & García, C. (2007). A task-based ontology approach to automate geospatial data retrieval. Transactions in GIS, 11(3), 355–376.
  • Winter, S. (2001). Ontology: Buzzword or paradigm shift in GI science? International Journal of Geographical Information Science, 15(7), 587–590.
  • Xu, J., Nyerges, T. L., & Nie, G. (2014). Modeling and representation for earthquake emergency response knowledge: perspective for working with geo-ontology. International Journal of Geographical Information Science, 28(1), 185–205.
  • Zhang, C., Cao, C., Sui, Y., & Wu, X. (2011). A Chinese time ontology for the semantic web. Knowledge-Based Systems, 24(7), 1057–1074.
  • Zhang, C., Zhao, T., & Li, W. (2010). Automatic search of geospatial features for disaster and emergency management. International Journal of Applied Earth Observation and Geoinformation, 12(6), 409–418.
  • Zhang, Y., Ma, Q., Chiang, Y.-Y., Knoblock, C., Zhang, X., Yang, P., ... Hu, X. (2019). Extracting geographic features from the Internet: A geographic information mining framework. Knowledge-Based Systems, 174, 57–72.
  • Zhao, T., Zhang, C., Wei, M., & Peng, Z.-R. (2008). Ontology-based geospatial data query and integration. International Conference on Geographic Information Science (pp. 370–392), Park City, UT.
  • Zhu, Y., Zhu, A.-X., Song, J., Yang, J., Feng, M., Sun, K., … Zhao, H. (2017). Multidimensional and quantitative interlinking approach for Linked Geospatial Data. International Journal of Digital Earth, 10(9), 923–943.