George Demetriou1, Warren Read2, Goran Nenadic1,

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Presentation transcript:

Integrating literature mining and curation for ontology-driven knowledge discovery George Demetriou1, Warren Read2, Goran Nenadic1, Noel Ruddock2, Martyn Fletcher3, Tom Jackson3, Robert Stevens1 & Jerry Winter2 1University of Manchester, 2Unilever Research, 3Cybula Ltd. Location: Great North Museum: Hancock, Newcastle

Content Curation for KBs Lifecycle Search for content Collect it Read/Analyse it Convert it into formal representations Integrate knowledge into computational models Use it to produce explanations, predictions or innovations Critical for knowledge bases But: cannot keep up with the volume and complexity of data! > 2 articles per min

Knowledge Discovery Cycle in BioHub BioHub IKMS Feedstocks, chemicals, plants, organisms, chemical transformations, properties Task: Extract, organise and integrate knowledge into models of chemical engineering “Which chemicals come from which feedstocks?”

Curation: Humans vs. machines DARPA Big Mechanism: Comparison based on text evidence from literature Humans: Machines: Hybrids: 8% Good for finding interactions Bad for grounding 48% Bad for interactions Good for grounding 73% Humans for interactions Machines for grounding

BioHub Curation Pipeline 1 2 3

Content Curation for KBs A leap of faith? OR A leap of knowledge?

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