Abstract
As the incredibly expanding volumes of remote sensing archives, and the number of objects necessary to identify in remote sensing pictures increasing, the conventional process of remote sensing interpretation is becoming more and more inefficient, and it seems impossible to finish all interpretation tasks in time. This paper applies ontology techniques to this process. It uses ontology to describe the domain knowledge, and brings forward a new hybrid ontology mapping model and an effective inference method without using any ontology inference engine. Finally it constructs an interpretation system, using which the work efficiency can be improved greatly.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Xian-Chuan, Y.: Remote Sensing Image Interpretation. Electric Industry Press (2003)
Chen, C., Haarslev, V., Wang, J.: LAS: Extending racer by a large abox store. In: Proc. of the Int. Description Logic Workshop (DL 2005), pp. 41–50 (2005)
Horrocks, I., Li, L., Turi, D., Bechhofer, S.: The Instance Store: DL reasoning with large numbers of individuals. In: Proc. of the Int. Description Logic Workshop (DL 2004), pp. 31–40 (2004)
Pan, Z., Heflin, J.: DLDB: Extending Relational Databases to Support Semantic Web Queries. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 109–113. Springer, Heidelberg (2003)
Broekstra, J., Kampman, A.: Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 54–68. Springer, Heidelberg (2002)
Chen, Y., Ou, J., Jiang, Y., et al.: HStar-a semantic repository for large scale OWL Documents. In: Mizoguchi, R., Shi, Z.-Z., Giunchiglia, F. (eds.) ASWC 2006. LNCS, vol. 4185, pp. 415–428. Springer, Heidelberg (2006)
McGuinness, D.L., van Harmelen, F.: OWL Web Ontology Language Overview, http://www.w3.org
de Bruijn, J., Polleres, A., Fensel, D.: OWL Lite-: WSML Working Draft, http://www.wsmo.org
Wan, T., Hong-Yan, Y.: Design of OWL Ontology Storage Schema in Relational Database. Computer Technology and Development 17(2), 111–114 (2007)
Hibernate, http://www.hibernate.org
Baader, F., McGuinness, D.L., Nardi, D., et al.: The Description Logic Handbook: Theory, implementation, and applications. Cambridge University Press, Cambridge (2003)
Richardson, C.: POJOs in Action. Manning Publications Co. (2005)
Guo, Y., Pan, Z., Heflin, J.: LUBM: A Benchmark for OWL Knowledge Base Systems. Journal of Web Semantics 3(2-3), 158–182 (2005)
Zheng-Wei, L.: The Research of Ontology Application in Military Target Remote Sensing Image Interpretation System. Beihang University, Beijing (2007)
Durbha, S.S., King, R.L.: Semantics-Enabled Framework for Knowledge Discovery From Earth Observation Data Archives. IEEE Transactions on Geoscience and Remote Sensing 43(11), 2563–2572 (2005)
Schröder, M., Rehrauer, H., Seidel, K., et al.: Interactive Learning and Probabilistic Retrieval in Remote Sensing Image Archives. IEEE Tran. on Geoscience and Remote Sensing 38(5), 2288–2298 (2003)
Colapicchioni, A.: KES-KIMV Final Presentation, http://earth.esa.int
Voirin, Y., et al.: A Forest Map Updating Expert System based on the Integration of Low Level Image Analysis and Photointerpretation Techniques. In: Geoscience and Remote Sensing Symposium (IGARSS 2002), vol. 3, pp. 1618–1620 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jia, X., Lin, Z., Huang, N. (2009). An Improved Storage and Inference Method for Ontology Based Remote Sensing Interpretation System. In: Liu, W., Luo, X., Wang, F.L., Lei, J. (eds) Web Information Systems and Mining. WISM 2009. Lecture Notes in Computer Science, vol 5854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05250-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-05250-7_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05249-1
Online ISBN: 978-3-642-05250-7
eBook Packages: Computer ScienceComputer Science (R0)