3. Team members
• Hammad
• Matthias
• Venkata
• Heiko
• YAMAMOTO-san
• Alberto
4. Original Proposal
• Integration of text mining results
– Reflect / Whatizit / Medie
– Results as triplets
• URI and predicates
– Implementation with SADI
– Result presentation using aTag
• Explore relations
• Interfaces
5. The work done
• Integration of text mining results
– Reflect / Whatizit / Medie
– Results as triplets
• URI and predicates
– Future BioPython module and REST service
• Explore relations
– Sesame endpoint
– Biogateway
– ARQ for federated queries
• Interfaces
– Result presentation using aTag
– Exhibit faceted interface
10. MEDIE and Enju APIs
• MEDIE is an intelligent search
engine to retrieve biomedical
correlations from MEDLINE, based
on indexing by Natural Language
Processing and Text Mining
techniques.
• Enju is a syntactic parser for
English.
14. Workflow
Whatizit Reflect Medie Pubmed
XML XML XML
RDF
RDF TogoWS
RDF Uniprot
15. Substance A
Interacts with
Receptor B
Region C
axonal projections
brain region D
Region D
aversive stimuli
Interlink these entities with
taxonomies & ontologies