Data Integration in the Life Sciences: First International by Shawn Bowers, Bertram Ludäscher (auth.), Erhard Rahm (eds.)
By Shawn Bowers, Bertram Ludäscher (auth.), Erhard Rahm (eds.)
This e-book constitutes the refereed lawsuits of the 1st overseas Workshop on info Integration within the existence Sciences, DILS 2004, held in Leipzig, Germany, in March 2004.
The thirteen revised complete papers and a pair of revised brief papers awarded have been rigorously reviewed and chosen from many submissions. The papers are geared up in topical sections on medical and scientific workflows, ontologies and taxonomies, indexing and clustering, integration instruments and platforms, and integration techniques.
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Extra resources for Data Integration in the Life Sciences: First International Workshop, DILS 2004, Leipzig, Germany, March 25-26, 2004. Proceedings
This language feature is not commonly found in rule-based languages such as Prolog. The rationale behind the introduction of the type system was to offer the user the option to restrict the applicability of rules and to control the level of generality in queries. The notation for typed variables in PROVA normally involves prefixing a variable name with a fully qualified name of the class to which the variable should belong. lang package can be used without their full prefix specifying their package.
Towards transparent access to multiple biological databanks. In Proceedings of the First Asia-Pacific Bioinformatics Conference, pages 53–60, Adelaide, Australia, 2003. G. E. Brenner, T. Hubbard, and C. Chothia. SCOP: a structural classification of proteins database for the investigation of sequences and structures. J. Mol. , 247:536–540, 1995. [MKA00] S. Möller, E. V. Kriventseva, and R. Apweiler. A collection of well characterised integral membrane proteins. Bioinformatics, 16(12):1159–1160, 2000.
The approach assumes that clinical applications are described through process models. Among other things, these processes contain the communication requirements between clinical applications. The approach now distills these data communication requirements between clinical applications out of the process models. We will see that these communication requirements can also be represented and enacted as workflows; we call this derived type of workflow ‘data logistics workflow’ or DL workflow. DL workflows can now be executed by a WfMS.