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Semantic Representation of Moving Entities for Enhancing Geographical Information Systems

Journal Name:

  • International Journal of Innovation and Applied Studies

Publication Year:

  • 2013

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
Geographical Information Systems have become useful for fleet control, hurricane tracking, tourism analysis and some other critical fields that include decision making processes. The analysis have been mainly focused on historical movement, movement prediction and motion patterns detection, which have a tremendous impact in traffic analysis, finding locations of interest and most visited places, estimating hurricane damage and so more. Recently, ontology driven GIS have shown to the scientific community the advantages of making semantic analysis based in ontology models. In this work we present the advantages of using ontologies for representing moving entities and enriching information with semantics. We also present some experimental results of using an ontological model and making semantic queries over the laying information, encouraging on several obtained benefits and aiming to state a basis for enhanced ontology driven GIS.
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  • 1
83-87
  • English

REFERENCES

References: 

[1] Fonseca, F. and Egenhofer, M. and Agouris, P. and Camara, G. Using ontologies for integrated geographic information
systems. Transactions in GIS, Vol. 6, no 3, pp. 231-2576, 2002.
[2] Tossebro, E. and Guting, R., Creating representations for continuously moving regions from observations. Advances in
Spatial and Temporal Databases, pp. 321-344, 2001.
[3] Sistla, P., Wolfson, O., Chamberlain, S., Dao, S.: Modeling and querying moving objects. In: Data Engineering, 1997.
Proceedings. 13th International Conference on, IEEE, pp. 422-432, 2002.
[4] Guting, R., Bohlen, M., Erwig, M., Jensen, C., Lorentzos, N., Schneider, M., Vazirgiannis, M.: A foundation for
representing and querying moving objects. ACM Transactions on Database Systems (TODS) Vol. 25, no 42, 2000.
[5] Spaccapietra, S., Parent, C., Damiani, M., De Macedo, J., Porto, F., Vangenot, C.: A conceptual view on trajectories. Data
& Knowledge Engineering, no 65, pp. 126-146, 2008.
[6] Alvares, L., Bogorny, V., Kuijpers, B., de Macedo, J., Moelans, B., Vaisman, A.: A model for enriching trajectories with
semantic geographical information. In: Proceedings of the 15th annual ACM international symposium on Advances in
geographic information systems, ACM, no 22, 2007.
[7] Welty, C. and Fikes, R., A Reusable Ontology for Fluents in OWL. Proceeding of the 2006 conference on Formal Ontology
in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006), pp. 226-236, 2006.
[8] Schneider, M., Ho, S.S., Agrawal, M., Chen, T., Liu, H., Viswanathan, G., A moving objects database infrastructure for
hurricane research: Data integration and complex object management, in: Proceedings of the Earth Science Technology
Forum, 2011.
[9] Zheng, Y., Xie, X., Ma, W.Y., Geolife: A collaborative social networking service among user, location and trajectory. IEEE
Data Eng. Bull. 33, pp. 32-39, 2010.
[10] Del Mar Roldan-Garcia, M., Aldana-Montes, J.: DBOWL: Towards a Scalable and Persistent OWL reasoner. In: Internet
and Web Applications and Services, 2008. ICIW’08. Third International Conference on, IEEE, pp. 174-179, 2008.

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