Abstract
In this paper we present our work on the engine for integration of environmental data. We present a suite of selected environmental scenarios, which are integrated into a novel data mining and integration environment, being developed in the project ADMIRE . The scenarios have been chosen for their suitability for data mining by environmental experts. They deal with meteorological and hydrological problems, and apply the chosen solutions to pilot areas within Slovakia. The main challenge is that the environmental data required by scenarios are maintained and provided by different organizations and are often in different formats. We present our approach to the specification and execution of data integration tasks, which deals with the distributed nature and heterogeneity of required data resources.
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
ADMIRE. EU FP7 ICT project: Advanced Data Mining and Integration Research for Europe (ADMIRE), 2008-2011. Grant agreement no. 215024, http://www.admire-project.eu (accessed November 2009)
CROSSGRID. EU FP5 IST RTD project: Development of Grid Environment for Interactive Applications (2002-05) IST-2001-32243, http://www.eu-crossgrid.org (accessed April 2009)
K-Wf Grid. EU FP6 RTD IST project: Knowledge-based Workflow System for Grid Applications (2004-2007) FP6-511385, call IST-2002-2.3.2.8, http://www.kwfgrid.eu (accessed August 2008)
MEDIGRID. EU FP6 RTD Sust. Dev. project: Mediterranean Grid of Multi-Risk Data and Models (2004-2006) GOCE-CT-2003-004044, call FP6-2003-Global-2
ANFAS. EU FP5 IST RTD project: datA fusioN for Flood Analysis and decision Support (2000-2003) IST-1999-11676
Finite Element Surface Water Modeling System (FESWMS), http://smig.usgs.gov/SMIC/model_pages/feswms.html (accessed November 2009)
Atkinson, M., et al.: ADMIRE White Paper: Motivation, Strategy, Overview and Impact, v0.9 (2009)
Antonioletti, M., Atkinson, M.P., Baxter, R., Borley, A., Chue Hong, N.P., Collins, B., Hardman, N., Hume, A., Knox, A., Jackson, M., Krause, A., Laws, S., Magowan, J., Paton, N.W., Pearson, D., Sugden, T., Watson, P., Westhead, M.: The Design and Implementation of Grid Database Services in OGSA-DAI. Concurrency and Computation: Practice and Experience 17(2-4), 357–376 (2005)
Karasavvas, K., Antonioletti, M., Atkinson, M.P., Chue Hong, N.P., Sugden, T., Hume, A.C., Jackson, M., Krause, A., Palansuriya, C.: Introduction to OGSA-DAI Services. In: Herrero, P., S. Pérez, M., Robles, V. (eds.) SAG 2004. LNCS, vol. 3458, pp. 1–12. Springer, Heidelberg (2005)
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
Ciglan, M., Habala, O., Tran, V., Hluchy, L., Kremler, M., Gera, M. (2010). Application of ADMIRE Data Mining and Integration Technologies in Environmental Scenarios. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14403-5_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-14403-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14402-8
Online ISBN: 978-3-642-14403-5
eBook Packages: Computer ScienceComputer Science (R0)