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 foreign Workshop on facts Integration within the existence Sciences, DILS 2004, held in Leipzig, Germany, in March 2004.

The thirteen revised complete papers and a couple of revised brief papers provided have been conscientiously reviewed and chosen from many submissions. The papers are equipped 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

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Examples for such terminologies are ICD (International Classification of Diseases) and ICPM (International Classification of Procedures in Medicine). Heterogeneity on these three levels can be reduced by using common standards. HL7 is such a standard and a framework for clinical communication that defines standardized formats and protocols used by connection servers. The focus of HL7 is to enable communication between information systems in hospitals. It consists of a Reference Information Model (RIM) that describes the entities and their relationships in a hospital, a vocabulary that holds a common definition of terms in different domains and message definitions that formalize data exchange [DAB+01].

This syntax is useful in situations requiring the use of such constraints as Like or Rlike, for example, [where, "pdb_id like '%%gs’"]. The pair [having, Having] allows specifying a post processing filter on the results returned by the query, for example, [having,"count(px)>1"]. A large variety of other modifiers for the query can be included with the [options, Optioons ] pair, for example, [options,"order by count(px) desc limit 10"]. A number of examples of SQL Select mapped predicates working with SCOP are shown below.

A data logistics specification. This is done via an XSLT script, which extracts process information and specifications of data flows and data containers. In Fig. 7, a fraction of the data logistic focused process model is depicted. To execute the DL workflow steps, we are using a system called YAWA (Yet Another Wrapper Architecture) [LaLa03]. YAWA can be configured for data transport and transformation by a set of XML configuration files. The following (cf. Fig. 8) is a subset of the configuration files generated by our DL system.

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