Text Mining and Management Tools for Resource Construction and Validation in the Life Sciences

Author Jong C. Park



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Jong C. Park

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Jong C. Park. Text Mining and Management Tools for Resource Construction and Validation in the Life Sciences. In Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives. Dagstuhl Seminar Proceedings, Volume 8131, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008) https://doi.org/10.4230/DagSemProc.08131.18

Abstract

In this talk, I am concerned with the question of 
what it really takes to move forward in the age 
of information, along the well knowln progression 
of human understanding, or data-information-knowledge-truth.  
After an overview of research directions of our group at KAIST, 
I present four text mining and management tools for resource 
construction and validation: Automatic gene summary generation, 
e3db construction, pathway validation by logical inference, 
and the system that taps into the evolutionary aspect of 
the Gene Ontology with colored graphs.

Subject Classification

Keywords
  • Text Mining
  • Resource Construction
  • Resource Validation
  • Gene Ontology

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