On Characterising and Identifying Mismatches in Scientific Workflows
Conference paper
Abstract
Workflows are gaining importance as a means for modelling and enacting in silico scientific experiments. A major issue which arises when aggregating a collection of analysis operations within a workflow is the compatibility of their inputs and outputs: the analysis operations are supplied by independently developed web services which are likely to have incompatible inputs and outputs. We use the term mismatch to refer to such incompatibility. This paper characterises the mismatches a scientific workflow may suffer from and specifies mappings for their resolution.
Keywords
Data Link Analysis Operation Connected Parameter Type Mismatch Representation Mismatch
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
- 1.Belhajjame, K., Embury, S.M., Fan, H., Goble, C.A., Hermjakob, H., Hubbard, S.J., Jones, D., Jones, P., Martin, N., Oliver, S., Orengo, C., Paton, N.W., Poulovassilis, A., Siepen, J., Stevens, R., Taylor, C., Vinod, N., Zamboulis, L., Zhu, W.: Proteome data integration: Characteristics and challenges. In: UK All Hands Meeting (2005)Google Scholar
- 2.Bowers, S., Ludäscher, B.: An ontology-driven framework for data transformation in scientific workflows. In: Rahm, E. (ed.) DILS 2004. LNCS (LNBI), vol. 2994, pp. 1–16. Springer, Heidelberg (2004)CrossRefGoogle Scholar
- 3.Bowers, S., Ludäscher, B.: Actor-oriented design of scientific workflows. In: Delcambre, L.M.L., Kop, C., Mayr, H.C., Mylopoulos, J., Pastor, Ó. (eds.) ER 2005. LNCS, vol. 3716, pp. 369–384. Springer, Heidelberg (2005)CrossRefGoogle Scholar
- 4.Gruber, T.: A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), 199–220 (1993)CrossRefGoogle Scholar
- 5.Hull, D., Stevens, R., Lord, P., Wroe, C., Goble, C.: Treating shimantic web syndrome with ontologies. In: First Advanced Knowledge Technologies workshop on Semantic Web Services (AKT-SWS 2004) (2004)Google Scholar
- 6.Maximilien, E.M., Singh, M.P.: A framework and ontology for dynamic web services selection. IEEE Internet Computing 8(5), 84–93 (2004)CrossRefGoogle Scholar
- 7.Oinn, T.M., Addis, M., Ferris, J., Marvin, D., Senger, M., Greenwood, R.M., Carver, T., Glover, K., Pocock, M.R., Wipat, A., Li, P.: Taverna: a tool for the composition and enactment of bioinformatics workflows. Bioinformatics 20(17), 3045–3054 (2004)CrossRefGoogle Scholar
- 8.Taylor, I.J., Shields, M.S., Wang, I., Rana, O.F.: Triana applications within grid computing and peer to peer environments. J. Grid Comput. 1(2), 199–217 (2003)CrossRefGoogle Scholar
- 9.Wroe, C., Stevens, R., Goble, C.A., Roberts, A., Greenwood, R.M.: A suite of daml+oil ontologies to describe bioinformatics web services and data. Int. J. Cooperative Inf. Syst. 12(2), 197–224 (2003)CrossRefGoogle Scholar
- 10.Yu, J., Buyya, R.: A taxonomy of scientific workflow systems for grid computing. SIGMOD Record 34(3), 44–49 (2005)CrossRefGoogle Scholar
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