Abstract
Web-based Management Information Systems (MIS) require the use of standardized methods and techniques for their design and development. The two most used resources are Model Driven Architectures (MDA) and Ontology Driven Architectures (ODA). The MDA perspective allows us to separate the specification issues from the system architecture as well as the details from its implementation. On the other hand, ODA provides the semantic representation of knowledge domain, also independently of its implementation. This paper presents the use of ODA in the SOLERES system, an information system for environmental management (EMIS).
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.
Similar content being viewed by others
References
An, Y., Zhao, B.: Geo Ontology Design and Comparison in Geographic Information Integration. In: Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007, vol. 4 (2007)
Asensio, J., Padilla, N., Iribarne, L., Muñoz, F., Ayala, R., Cruz, M., Menenti, M.: A MDEbased Satellite Ontology for Environmental Management Systems. Information Technology, Information Systems and Knowledge Management (in press)
Brilhante, V.: An Ontology for Quantities in Ecology. In: Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. LNCS (LNAI), vol. 3171, pp. 144–153. Springer, Heidelberg (2004)
Ceccaroni, L., Cortés, U., Sanchez-Marre, M.: OntoWEDSS: Augmenting Environmental Decision-Support Systems with Ontologies. Environmental Modelling and Software 19(9), 785–797 (2004)
Di Lecce, V., Pasquale, C., Piuri, V.: A Basic Ontology for Multi Agent System Communication in an Environmental Monitoring System. In: 2004 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2004, pp. 45–50 (2004)
GML/OCG: Geography Markup Language. Open Geospatial Consortium, inc. Tech. rep. (2007), http://www.opengeospatial.org/standards/gml/
Huang, M.: A New Method to Formal Description of Spatial Ontology. Information Technology and Environmental System Sciences 3, 417–421 (2008)
Lytras, M.: Semantic Web and Information Systems: An Agenda Based on Discourse with Community Leaders. International Journal of Semantic Web and Information Systems 1(1) (2005)
Padilla, N., Iribarne, L., Asensio, J.A., Muñoz, F.J., Ayala, R.: Modelling an Environmental Knowledge-Representation System. In: Lytras, M.D., Damiani, E., Tennyson, R.D. (eds.) WSKS 2008. LNCS (LNAI), vol. 5288, pp. 70–78. Springer, Heidelberg (2008)
Shen, J., Krishna, A., Yuan, S., Cai, K., Qin, Y.: A Pragmatic GIS-Oriented Ontology for Location Based Services. In: 19th Australian Conference on Software Engineering, ASWEC 2008, pp. 562–569 (2008)
Song, J., Zhu, Y., Wang, J.: A Study of Semantic Retrieval System Based on Geo-ontology with Spatio-Temporal Characteristic. In: Proc. of International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES 2007), vol. I-II, pp. 1029–1034 (2007)
Tripathi, A., Babaie, H.: Developing a Modular Hydrogeology Ontology by Extending the SWEET Upper-Level Ontologies. Computers and Geosciences 34(9), 1022–1033 (2008)
Zhan, Q., Li, D., Shao, Z.: An Architecture for Ontology-Based Geographic Information Semantic Grid Service. In: Proceedings of SPIE, vol. 6754, p. 67541U (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Asensio, J.A., Padilla, N., Iribarne, L. (2013). An Ontology-Driven Case Study for the Knowledge Representation of Management Information Systems. In: Lytras, M.D., Ruan, D., Tennyson, R.D., Ordonez De Pablos, P., García Peñalvo, F.J., Rusu, L. (eds) Information Systems, E-learning, and Knowledge Management Research. WSKS 2011. Communications in Computer and Information Science, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35879-1_51
Download citation
DOI: https://doi.org/10.1007/978-3-642-35879-1_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35878-4
Online ISBN: 978-3-642-35879-1
eBook Packages: Computer ScienceComputer Science (R0)