Abstract | ||
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We introduce the architecture of @neuLink, a service-oriented environment for biomedical knowledge discovery which has been developed in the course of EU Integrated Project @neurIST. The application integrates data from databases with information extracted from unstructured text sources. Moreover, @neuLink supports the analysis of primary biomolecular data associated with individual patients and thus enables the interpretation of molecular data inside a clinical research environment. Based on an assembly of data services, @neuLink interacts with the complex @neurIST grid infrastructure through a dedicated data access and data mediation service. Data types integrated by @neuLink are covering the entire span of biomolecular entities: from gene names in text to entries in EntrezGene; from mentions of drugs to Drugbank, from information on allelic variants in scientific literature to entries in dbSNP. The architecture of @neuLink allows easy integration of other webservice-based applications and thus the spectrum of analysis capabilities of @neuLink can be extended following the requirements of the users of the @neurIST system. |
Year | Venue | Keywords |
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2008 | Studies in Health Technology and Informatics | SOA,Finding Candidate Genes and Variations,Text Mining,Datamining,Knowledge Discovery |
Field | DocType | Volume |
Service oriented applications,Knowledge management,Knowledge extraction,Medicine | Conference | 138 |
ISSN | Citations | PageRank |
0926-9630 | 8 | 0.58 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christoph M. Friedrich | 1 | 186 | 25.44 |
Holger Dach | 2 | 8 | 0.58 |
Tobias Gattermayer | 3 | 17 | 2.23 |
Gerhard Engelbrecht | 4 | 156 | 17.33 |
Siegfried Benkner | 5 | 614 | 67.47 |
Martin Hofmann-Apitius | 6 | 372 | 30.08 |