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SUMMARY:Data Management\, Integration and Retrieval in Life Sciences Using
  Semantic Web Technology - Sarinder Kaur Kashmir-Singh\, University of Mal
 aya
DTSTART:20131108T120000Z
DTEND:20131108T130000Z
UID:TALK48518@talks.cam.ac.uk
CONTACT:Tamara Polajnar
DESCRIPTION:Following the growing trends in bioinformatics\, most biologic
 al processes are simulated to run on automated platforms using high throug
 hput computing power. In the field of Biology where huge data sets are gen
 erated through field work and experimental studies\, it is timely to manag
 e and analyse these data using the powerful computing technology. Some ins
 titutions have information documented in the form of spreadsheets or even 
 structured databases using commercialized software\, while others are stil
 l working with conventional methods of data storage which is mostly in uns
 tructured forms. However most of the databases are independently developed
  and not interrelated in any way and there are no semantics to link them. 
 Hence no generation of knowledge about biodiversity is possible from such 
 databases. Additionally\, in taxonomy studies\, researchers collect huge n
 umber of specimens which are then converted into digital images in the for
 m of photographs or illustrations. These images are also described by biol
 ogists but the information is often not captured together with the image d
 uring digitalization of these images hence valuable information is missed 
 out when building image databases. Due to this\, image and textual biodive
 rsity databases still exists independently. A user often has to switch bet
 ween distinct systems before the extracted information can be combined.  T
 his talk aims to present current issues in managing data in life sciences 
 which includes documentation of data into structured formats using a stand
 ard meta-data\, integration of data and retrieval of both images and textu
 al data. Additionally\, this talk also presents development of ontologies 
 in biodiversity which currently is a growing trend.
LOCATION:FW26\, Computer Laboratory
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