Alitora Systems presents Innovation Networks for Life Sciences at Semantic Technology Conference 2009.

3. How can we: Surface & Distribute Insights from Unstructured Data? Or: How do we deliver to you the interesting bits of knowledge out of a lot of text?

4. Problem: Insights from Data Silos Case Study: Eli Lilly / Life Science

5. Solution: Natural Language Processing? Transform a pile of Documents into A pile of Facts . We still have a pile.

6. Solution: Natural Language Processing + Linked Relationships via Ontologies? What in the network is important ?

7. Solution: Natural Language Processing + Linked Relationships + Relevancy? Relevant to whom?

8. Solution: Natural Language Processing + Linked Relationships + Relevancy + Collaboration. Ah Ha! Relevant information can find me via my context. My colleagues can help.

9. Then we can Surface & Distribute Insights Deploy solution as a service so Insights can be embedded anywhere.

10. People Databases, Ontologies News, PR, Documents, Reports Innovation Network

11. Innovation Network - DEMO Web Application Application Plug-In

14. Innovation Network kHarmony™ Data Representation: Each Object has Properties “ chunks” of RDF Unique URI “ Core” RDFs Model

15. Innovation Network kHarmony™ HyperEdges: Statements about Statements Track Provenance Difficult in RDF alone (everything “reified”)

17. Semantic Collaborative Statements

18. Semantic Knowledge Statements Domain Ontology + Instance Statements

19. Semantic Knowledge Statements Direct or Inferred

24. Innovation Network - DEMO Web Application Application Plug-In … including OpenCalais

26. Innovation Network Interface

42. Innovation Network