Abstract
In today’s decision support system, geospatial information is becoming an important component due to its capability of spatial referencing and visual analysis in form of map. Geospatial data are often collected and maintained by different organizations and has become a major bottleneck for spatial integration. Further, the properties and the relationships among the data are not always crisply defined. Thus in order to achieve more accuracy, the uncertainty associated with the spatial information should be captured. This paper proposes a methodology that integrates these diverse complex data using fuzzy geospatial web service. It starts with a fuzzy geospatial data modeling technique that captures the properties of the geospatial data, relationship among them and uncertainty associated with these properties and relationships. The issue of interoperability and integration of diverse data sets are realized through an Enterprise GIS framework which uses geospatial web services. The queries related to decision support processes are analyzed using fuzzy reasoning to enhance the accuracy.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Worboys, M., Deen, S.: Heterogeneity in distributed geographic database. In: Proceedings of ACM SIGMOD International Conference on Management of Data, vol. 20, pp. 30–34 (1991)
Varies, M.: Recycling geospatial information in emergency situations: Ogc standards play an important role, but more work is needed. Directions Magazine (2005)
Gong, J., Shi, L., Du, D., Rolf, A.: Technologies and standards on spatial data sharing. In: Proceedings of 20th ISPRS:Geo-imagery bridging continents, vol. 34, pp. 118–128 (2004)
Abel, D., Gaede, V., Taylor, K., Zhou, X.: Smart: Towards spatial internet marketplaces. International Journal Geoinformatica 3, 141–164 (1999)
OGC: Open geospatial consortium, http://www.opengeospatial.org
ISO: Geographic information - Rules for application schema, Final text of CD 19109 (2001)
Nogueras, J., Zarazaga, F., Muro, P.: Geographic Information Metadata for Spatial Data Infrastructures Resources, Interoperability and Information retrieval, 1st edn. Springer, Heidelberg (2005)
Booch, G.: Object oriented design with applications. Benjamin-Cummings Publishing Company Inc. (1990)
Ma, Z.M., Yan, L.: Fuzzy xml data modeling with the uml and relational data models. Journal of Data & Knowledge Engineering 63, 972–996 (2007)
Sicilia, M., Mastorakis, N.: Extending uml 1.5 for fuzzy conceptual modeling: A strictly additive approach 3, 2234–2239 (2004)
Paul, M., Ghosh, S.: A service-oriented approach for integrating heterogeneous spatial data sources realization of a virtual geo-data repository. Journal of Cooperative Information System 17, 111–153 (2008)
Jang, J., Sun, C., Mizutani, E.: Neuro-fuzzy and Soft Computing. Pretice Hall, Upper Saddle River (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mukherjee, I., Ghosh, S.K. (2010). A Fuzzy Reasoning Framework for Resolving Spatial Queries through Service Driven Integration of Heterogeneous Geospatial Information. In: Prasad, S.K., Vin, H.M., Sahni, S., Jaiswal, M.P., Thipakorn, B. (eds) Information Systems, Technology and Management. ICISTM 2010. Communications in Computer and Information Science, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12035-0_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-12035-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12034-3
Online ISBN: 978-3-642-12035-0
eBook Packages: Computer ScienceComputer Science (R0)