The progressive consolidation of information technologies on a large scale has been facilitating and progressively increasing the production, collection, and diffusion of geographic data, as well as facilitating the integration of a large amount of external information into geographic information systems (GIS). Traditional GIS is transforming into a consolidated information infrastructure. This consolidated infrastructure is affecting more and more aspects of internet computing and services. Most popular systems (such as social networks, GPS, and decision support systems) involve complex GIS and significant amounts of information. As a web service, GIS is affected by exactly the same problems that affect the web as a whole. Therefore, next generation GIS solutions have to address further methodological and data engineering challenges in order to accommodate new applications’ extended requirements (in terms of scale, interoperability, and complexity). The conceptual and semantic modeling of GIS, as well as the integration of semantics into current GIS, provide highly expressive environments that are capable of meeting the needs and requirements of a wide range of applications.
References
[1]
Maguire, D.J.; Goodchiled, M.; Rhinds, D. An Overview and Definition of GIS. In Geographical Information Systems: Principals and Applications; Longman Scientific & Technical: London, UK, 1991; pp. 9–20.
[2]
Open Geospatial Consortium Inc. OGC? Sensor Web Enablement: Overview and High Level Architecture; Botts, M., Percivall, G., Reed, C., Davidson, J., Eds.; Springer: Berlin, Germany, 2008; pp. 175–190.
[3]
Soomro, T.R.; Zheng, K.; Pan, Y. HTML and Multimedia Web GIS. In Proceedings of the 1999 3rd International Conference on Computational Intelligence and Multimedia Applications (ICCIMA’99), New Delhi, India, 23–26 September 1999; pp. 371–382.
[4]
Ground Truth: The Social Implications of Geographic Information Systems; Pickles, J., Ed.; Guilford Press: New York, NY, USA, 1995.
[5]
Anselin, L. Spatial Data Analysis with GIS: An Introduction to Application in the Social Sciences; National Center for Geographic Information and Analysis: Santa Barbara, CA, USA, 1992.
[6]
Dragicevic, S. The potential of web-based GIS. J. Geogr. Syst. 2004, 6, 79–81, doi:10.1007/s10109-004-0133-4.
[7]
Lohr, S. The Age of Big Data. New York Times, 11, February, 2012.
[8]
Berners-Lee, T.; Hendler, J.; Lassila, O. The semantic web. Sci. Am. 2001, 284, 28–37.
[9]
McIlraith, S.A.; Son, T.C.; Zeng, H. Semantic web services. IEEE Intell. Syst. 2001, 16, 46–53, doi:10.1109/5254.920599.
[10]
Stoimenov, L.; ?or?evi?-Kajan, S. Framework for semantic GIS interoperability. FACTA Universitatis Ser. Math. Inform. 2002, 17, 107–125.
[11]
Budhathoki, N.R.; Nedovic-Budic, Z. Reconceptualizing the role of the user of spatial data infrastructure. GeoJournal 2008, 72, 149–160, doi:10.1007/s10708-008-9189-x.
[12]
O’reilly, T. What is Web 2.0: Design patterns and business models for the next generation of software. Commun. Strateg. 2007, 65, 17–37.
[13]
Egenhofer, M.J. Toward the Semantic Geospatial Web. In Proceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems, McLean, VA, USA, 8–9 November 2002.
[14]
Cruz, I.F.; Rajendran, A.; Sunna, W. Handling Semantic Heterogeneities Using Declarative Agreements. In Proceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems, McLean, VA, USA, 8–9 November 2002.
[15]
Hendler, J. Web 3.0 emerging. Computer 2009, 42, 111–113, doi:10.1109/MC.2009.30.
[16]
Pileggi, S.F.; Fernandez-Llatas, C.; Traver, V. When the social meets the semantic: Social semantic Web or Web 2.5. Future Internet 2012, 4, 852–864, doi:10.3390/fi4030852.
[17]
Ellul, C.; Haklay, M. Requirements for topology in 3D GIS. Trans. GIS 2006, 10, 157–175.
[18]
Waters, J.; Powers, B.J.; Ceruti, M.G. Global interoperability using semantics, standards, science and technology (GIS3T). Comput. Stand. Interfaces 2009, 31, 1158–1166, doi:10.1016/j.csi.2009.03.001.
[19]
Samet, H. The Design and Analysis of Spatial Data Structures; Addison-Wesley: Boston, MA, USA, 1990; Volume 199.
[20]
Hiramatsu, K.; Reitsma, F. GeoReferencing the Semantic Web: Ontology based Markup of Geographically Referenced Information. In Proceedings of Joint EuroSDR/EuroGeographics Workshop on Ontologies and Schema Translation Services, Marne-la-Vallee, France, 15–16 April 2004.
[21]
Frank, A.U. Spatial Ontology: A Geographical Information Point of View. In Spatial and Temporal Reasoning; Springer: Dordrecht, The Netherlands, 1997; pp. 135–153.
[22]
Pundt, H.; Bishr, Y. Domain ontologies for data sharing—An example from environmental monitoring using field GIS. Comput. Geosci. 2002, 28, 95–102, doi:10.1016/S0098-3004(01)00018-8.
[23]
Staub, P.; Gn?gi, H.R.; Morf, A. Semantic interoperability through the definition of conceptual model transformations. Trans. GIS 2008, 12, 193–207, doi:10.1111/j.1467-9671.2008.01095.x.
[24]
Perry, M.; Hakimpour, F.; Sheth, A. Analyzing Theme, Space, and Time: An Ontology-Based Approach. In Proceedings of the 14th Annual ACM International Symposium on Advances in Geographic Information Systems, Arlington, VA, USA, 10–11 November 2006.
[25]
Cai, G. Contextualization of geospatial database semantics for human-GIS interaction. Geoinformatica 2007, 11, 217–237, doi:10.1007/s10707-006-0001-0.
[26]
Devillers, R.; Bédard, Y.; Jeansoulin, R. Multidimensional management of geospatial data quality information for its dynamic use within GIS. Photogramm. Eng. Remote Sens. 2005, 71, 205–215.
[27]
Tummarello, G.; Delbru, R.; Oren, E. Sindice.com: Weaving the Open Linked Data. In The Semantic Web, Proceedings of the 6th International Semantic Web Conference and of the 2nd Asian Semantic Web Conference, Busan, Korea, 11–15 November 2007; Springer: Berlin, Germany, 2007; pp. 552–565.
[28]
Schwering, A. Approaches to semantic similarity measurement for geo-spatial data: A survey. Trans. GIS 2008, 12, 5–29, doi:10.1111/j.1467-9671.2008.01084.x.
Spielman, S.E.; Thill, J.C. Social area analysis, data mining, and GIS. Comput. Environ. Urban Syst. 2008, 32, 110–122, doi:10.1016/j.compenvurbsys.2007.11.004.
[31]
Alibrandi, M.; Sarnoff, H.M. Using GIS to answer the “Whys” of “Where” in social studies. Soc. Educ. 2006, 70, 138–143.