Cambridge Semantic Web Monthly Meetup

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Agenda:

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Context-Specific Ontology Integration
Kshitij Marwah (MIT), Gil Alterovitz (Harvard Medical School/MIT)

We introduce a principled computational framework and methodology for automated discovery of context-specific
functional links between ontologies. Our model leverages over disparate free-text literature resources to score the
model of dependency linking two terms under a context against their model of independence. We identify linked
terms as those having a significant bayes factor (p < 0.01). To scale our algorithm over massive ontologies, we
propose a heuristic pruning technique as an efficient algorithm for inferring such links.
We have applied this method to translationalize Gene Ontology to all other ontologies available at National Center
of Biomedical Ontology (NCBO) BioPortal under the context of Human Disease ontology. Our results show that in
addition to broadening the scope of hypothesis for researchers, our work can potentially be used to explore
continuum of relationships among ontologies to guide various biological experiments.

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Databinding in Anzo

Rouben Meschian -- Cambridge Semantics

Presenting a demo of the databinding infrastructure in Anzo, then show how it can be used in Anzo on the Web.