Alitora Innovation Networks

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

Tecnologia

[object Object],[object Object],[object Object],[object Object],Building Innovation Networks in the Life Sciences http://en.wikipedia.org/wiki/Collaborative_Innovation_Networks

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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?

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

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

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

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

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

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

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

Innovation Network - DEMO Web Application Application Plug-In

Alitora Systems Architecture ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Collaboration, Entitlement ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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

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

kHarmony™ Relevancy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Confidential

Semantic Knowledge Statements Domain Ontology + Instance Statements

Semantic Knowledge Statements Direct or Inferred

Text Mine Unstructured Data: Semantic Parse Graph Representation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Entity and Relationship Normalization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Confidential Copyright Alitora Systems, Inc. 2009

Innovation Network ,[object Object],[object Object],[object Object],[object Object],[object Object],“ Semantics-as-a-Service” “ Platform-as-a-Service”

Innovation Network - DEMO ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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

Contact Information ,[object Object],[object Object],[object Object],[object Object],[object Object]

Alitora Foundry Toolkit ,[object Object]

Alitora Foundry Toolkit ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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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

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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”)

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17. Semantic Collaborative Statements

18. Semantic Knowledge Statements Domain Ontology + Instance Statements

19. Semantic Knowledge Statements Direct or Inferred

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

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26. Innovation Network Interface

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Alitora Innovation Networks

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