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What and Who
Title:Biomedical Knowledge Base Construction from Text and its Applications in Knowledge-based Systems
Speaker:Patrick Ernst
coming from:Max-Planck-Institut für Informatik - D5
Speakers Bio:
Event Type:Promotionskolloquium
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Tuesday, 6 March 2018
Duration:60 Minutes
Building:E1 4
While general-purpose Knowledge Bases (KBs) have gone a long way in compiling
comprehensive knowledge about people, events, places, etc., domain-specific KBs,
such as on health, are equally important, but are less explored. Consequently, a
comprehensive and expressive health KB that spans all aspects of biomedical
knowledge is still missing. The main goal of this thesis is to develop
principled methods for building such a KB and enabling knowledge-centric
applications. We address several challenges and make the following contributions:

- To construct a health KB,
we devise a largely automated and scalable pattern-based knowledge extraction
method covering a spectrum of different text genres and distilling a wide
variety of facts from different biomedical areas.
- To consider higher-arity relations, crucial for proper
knowledge representation in advanced domain such as health, we generalize
the fact-pattern duality paradigm of previous methods. A key novelty is the
integration of facts with missing arguments by extending our framework to
partial patterns and facts by reasoning over the composability of partial
- To demonstrate the benefits of a health KB, we devise systems for
entity-aware search and analytics and for entity-relationship-oriented
Extensive experiments and use-case studies demonstrate the viability of the
proposed approaches.

Name(s):Petra Schaaf
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Attachments, File(s):

Petra Schaaf/AG5/MPII/DE, 02/15/2018 09:53 AM
Last modified:
halma/MPII/DE, 11/07/2018 04:52 PM
  • Petra Schaaf, 02/15/2018 09:59 AM -- Created document.