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A semantic grid browser for the life sciences applied to the study of infectious diseases

Ziel

The objective of SeaLife is the conception and realisation of a semantic Grid browser for the Life Sciences, which will link the existing Web to the currently emerging eScience infrastructure. The SeaLife browser will allow users to automatically link a host of Web servers and Web/Grid services to the Web content they are visiting. This will be accomplished using eScience's growing number of Web/Grid Services and its XML-based standards and ontologies. The browser will identify terms in web pages with its background knowledge held in ontologies.

With Semantic Hyperlinks, which link identified ontology terms to servers and services, the SeaLife browser will offer a new dimension of context-based information integration.The browser will comprise comprehensive background knowledge of life science topics consisting of domain specific ontologies and dictionaries of proteins. It will consist of a textmining module, which will be able to automatically extract terms from free text, and a service module, which will enable users to link identified terms to Web/Grid services to facilitate actions on the data identified. The browser will be demonstrated on three applications in evidence-based medicine, literature and patent mining, and molecular biology, all relating to the study of infectious diseases.

The three applications vertically integrate the molecule/cell, the tissue/organ and the patient/population level by covering the analysis of high-throughput screening data for the molecular entry pathway into the cell, the expression of proteins in the spatial context of tissue and organs, and a high-level library on infectious diseases designed for clinicians and their patients. For maximum impact SeaLife has an advisory board comprising the W3C, Pfizer, AstraZeneca, Unilever, and two public health bodies. SeaLife and its board will showcase the opportunities presented by building user facing generic tools over semantically rich eScience infra-structure.

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TECHNISCHE UNIVERSITAET DRESDEN
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