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SUMMARY:Auto-populating ontologies: Data-extraction beyond single properti
 es with ChemDataExtractor 2.0 and TableDataExtractor - Juraj Mavracic
DTSTART:20200302T163000Z
DTEND:20200302T170000Z
UID:TALK138052@talks.cam.ac.uk
CONTACT:Bingqing Cheng
DESCRIPTION:The abundance of data found in heterogeneous sources\, such as
  scientific publications\, has forced the development of automated techniq
 ues for data extraction. Indeed\, in many data-driven methodologies for ma
 terials science\, the biggest problem is the lack of usable data to begin 
 with\, with databases being expensive to build and maintain.\n\nWith ChemD
 ataExtractor 2.0 in combination with TableDataExtractor\, we present a fra
 mework that goes beyond the extraction of single properties and enables th
 e auto-population of user-defined ontologies of interest.\n\nThus\, gettin
 g closer to seamless integration of heterogeneous data sources into the da
 ta-driven research framework.
LOCATION:Mott Seminar (531) room\, top floor of the Mott Building\, in the
  Cavendish Laboratory\, West Cambridge.
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