Abstract
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 he/she is 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 the pages being browsed through the background knowledge held in ontologies. Through the use of Semantic Hyperlinks, which link identified ontology terms to servers and services, the SeaLife Browser will offer a new dimension of context-based information integration. In this paper, we give an overview over the different components of the browser and their interplay. This SeaLife Browser will be demonstrated within three application scenarios in evidence-based medicine, literature & 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 endocytosis (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 more information see http://www.biotec.tu-dresden.de/sealife.

URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-066

BibTeX:

@inproceedings{REWERSE-RP-2006-066,
	author = {Michael Schroeder and Albert Burger and Patty Kostkova and Robert Stevens and Bianca Habermann and Rose Dieng-Kuntz},
	title = {Sealife: A Semantic Grid Browser for the Life Sciences Applied to the Study of Infectious Diseases},
	booktitle = {Proceedings of HealthGRID 2006, Valencia, Spain (7th--9th June 2006)},
	year = {2006},
	volume = {120},
	series = {Studies in Health Technology and Informatics},
	pages = {167--178},
	url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-066}
}