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AI4GH Seminar Series - Large-scale Text and Data Integration for Cancer Genomics Research

Start Date: February 4, 2019 1:00 PM
End Date: February 4, 2019 2:00 PM

​Abstract:

 Prof. Rebholz-Schuhmann has long-term experience in semantics driven

 data analytics research, as well in life sciences as in other domains.

 This talk will give an overview over data and text mining in the life

 science domain, but will also point out the use of semantic

 technologies for other domains. Such solutions cover the integration

 of heterogeneous data sources based on semantic Web standards (e.g.,

 TCGA, Cosmic, others), the development of smart technologies (e.g.,

 stream processing), graph and literature analytics, and open data

 initiatives.  Application domains are biomedical solutions in cancer

 genomics and targeted projects together with industrial partners

 exploiting semantic Web technologies in general.  The presentation

 will give an overview on ongoing research in the life science domain

 and gives a prospect on biomedical solutions in the cloud and the ways

 to establish large-scale platforms for researchers.


 Bio:

 Prof. D. Rebholz-Schuhmann is a medical doctor and a computer

 scientist.  Currently, he is the scientific director of ZB MED

 (Information Center for the Life Sciences) at the University Cologne.

 He also still holds an established chair for data analytics at the

 National University of Ireland, Galway, and has been till recently the

 director of the Insight Center for Data Analytics in Galway (the

 former Deri institute).  His research is positioned in semantic

 technologies in the biomedical domain. In his previous research he has

 established large-scale on-the-fly biomedical text mining solutions

 and has contributed to the semantic normalisation in the biomedical

 domain.




More Information:

​​​Light lunch will be provided