Abstract
Scientific Computing is a multidisciplinary field that goes beyond the use of computer as machine where researchers write simple texts, presentations or store analysis and results of their experiments. Considering the increase use of computer resources applied to experiments and simulations, it is notable that the research groups are at a new level of scientific computing, well represented by e-Science domain. This work aims to propose an architecture, based on intelligent agents, to search, retrieve and compose simulation models, generated within research projects related to scientific domains. The SASAgent architecture is described and a case study is presented. Preliminary results suggest that the proposed architecture is promising to achieve requirements found in e-Science projects.
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
Atkins, D.E., Droegemeier, K.K., Feldman, S.I., Garcia-Molina, H., Klein, M.L., Messerschmitt, D.G., Messina, P., Ostriker, J.P., Wright, M.H.: Revolutionizing Science and Engineering Through Cyberinfrastructure Panel on Cyberinfrastructure (2003)
Hine, C.M.: New infrastructures for knowledge production: understanding E-science, 1st edn. Information Science Publishing, United Kingdom (2006)
NESC (2005), http://www.nesc.ac.uk (accessed, June 1, 2009)
Huang, L.-C., Wu, Z.-H., Pan, Y.-H.: A Grid Architecture for Scalable e-Science and Its Prototype. Journal of Software 16(4) (2005)
Sánchez, F.G., GarcÃa, R.V., Béjar, R.M., Breis, J.T.F.: An ontology, intelligent agent-based framework for the provision of semantic web services, http://www.sciencedirect.com (accessed in June 1, 2009)
Studer, R., Benjamins, R., Fensel, D.: Knowledge engineering: Principles and methods (1998), http://www.das.ufsc.br/~gb/pg-ia/ (accessed in June 1, 2009)
OWL (2004), http://www.w3.org/TR/owl-guide/ (accessed in June 1, 2009)
McIlraith, S., Son, T.C., Zeng, H.: Semantic web services. IEEE Intelligent Systems 16(2), 46–53 (2001)
Kourtesis, D., Paraskakis, I.: Combining sawsdl, owl-dl and uddi for semantically enhanced web service discovery. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 614–628. Springer, Heidelberg (2008)
Klusch, M., Fries, B.E., Sycara, K.: Automated semantic web service discovery with owls-mx. In: AAMAS 2006: Proceedings of the International joint conference on Autonomous agents and multiagent systems, NY, USA, pp. 915–922. ACM, New York (2006) ISBN 1-59593-303-4
Langegger, A., Wöÿ, W., Blöchl, M.: A semantic web middleware for virtual data integration on the web, pp. 493–507 (2008)
Matos, E.E.S., Campos, F., Braga, R., Palazzi, D.: CelOWS: an ontology based framework for the provision of semantic web services related to biological models. Journal of Biomedical Informatics (2009b), ISSN: 1532-0464, doi:10.1016/j.jbi.2009.08.008
Cote, R., Jones, P., Apweiler, R., Hermjakob, H.: The ontology lookup service, a lightweight cross-platform tool for controlled vocabulary queries. BMC Bioinformatics 7(1), 97 (2006)
Jones, P., Cote, R.: The pride proteomics identifications database: Data submission, query, and dataset comparison. In: Functional Proteomics. de Methods in Molecular Biology, vol. 484, pp. 287–303. Humana Press, Totowa (2008)
Lloyd, C.M., Halsted, M.D.B., Nielsen, P.: CellML: its future, present and past. Progress in Biophysics & Molecular Biology 85, 433–450 (2004)
Lu, J., Ma, L., Zhang, L., Brunner, J., Wang, C., Pan, Y., Yu, Y.: Sor: a practical system for ontology storage, reasoning and search. In: VLDB 2007: Proceedings of the 33rd international conference on Very large data bases, VLDB Endowment, pp. 1402–1405 (2007) ISBN 978-1-59593-649-3
The GLOBUS Project, http://www.globus.org/
The UNICORE Project, http://www.unicore.eu/
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
Mendes, L.F., Braga, R., Campos, F. (2010). SASAgent: An Agent Based Architecture for Search, Retrieval and Composition of e-Science Models and Tools. In: Khuri, S., Lhotská, L., Pisanti, N. (eds) Information Technology in Bio- and Medical Informatics, ITBAM 2010. ITBAM 2010. Lecture Notes in Computer Science, vol 6266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15020-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-15020-3_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15019-7
Online ISBN: 978-3-642-15020-3
eBook Packages: Computer ScienceComputer Science (R0)