@Article{Rebholz-Schuhmann_Grabmuller_Kavaliauskas-case_study_seman-2013,
  author =	 {Rebholz-Schuhmann, Dietrich and Grabmuller, Christoph and 
                  Kavaliauskas, Silvestras and Croset, Samuel and Woollard, 
                  Peter and Backofen, Rolf and Filsell, Wendy and Clark, 
                  Dominic},
  title =	 {A case study: semantic integration of gene-disease 
                  associations for type 2 diabetes mellitus from literature 
                  and biomedical data resources},
  journal =	 {Drug Discov Today},
  year =	 {2013},
  volume =	 {19},
  number =	 {7},
  pages =	 {882–889},
  user =	 {backofen},
  pmid =	 {24201223},
  doi = 	 {10.1016/j.drudis.2013.10.024},
  issn = 	 {1359-6446},
  issn = 	 {1878-5832},
  abstract =	 {In the Semantic Enrichment of the Scientific Literature 
                  (SESL) project, researchers from academia and from life 
                  science and publishing companies collaborated in a 
                  pre-competitive way to integrate and share information for 
                  type 2 diabetes mellitus (T2DM) in adults. This case study 
                  exposes benefits from semantic interoperability after 
                  integrating the scientific literature with biomedical data 
                  resources, such as UniProt Knowledgebase (UniProtKB) and the 
                  Gene Expression Atlas (GXA). We annotated scientific 
                  documents in a standardized way, by applying public 
                  terminological resources for diseases and proteins, and 
                  other text-mining approaches. Eventually, we compared the 
                  genetic causes of T2DM across the data resources to 
                  demonstrate the benefits from the SESL triple store. Our 
                  solution enables publishers to distribute their content with 
                  little overhead into remote data infrastructures, such as 
                  into any Virtual Knowledge Broker.}
}