Text to Graph in real time

Examples of persisting streaming text into DB for visualization

1) News extracted from a social network( or any other online medium)

2) First pass: Automated data extraction:

• Companies:Watson Pharmaceuticals,Sanofi Aventis,Anda Inc

• Product: Avapro,Irbesartan• Terms:Generic drug, Treatmant of hypertension,• Event: Company Affiliation, FDAPhase ,

CompanyProduct

Second Pass: Convert to visual diagram by applying NLP

and mapping into Graph Database

Why Do it ?Link concepts and events via NLP to visualize the

story:

Build a mash up from other online sources – “Linked Data”

Concept Mapping Features : Increasing Text Parsing Efficiency

• Why Do it ?

5) Analyze links and “derived data” to build matching profile/recommendation

Query derived links from news story to augment facts and aggregate more data, which in turn can be applied towards custom recommendations.

The software will be able to identify automatically without human intervention relations between companies and people and query in depth consequences of event ( Affiliates – “Renewable Ventures - investment -Xcel Energy-bid Univ of Colorado-bid solar installation-AMEX plc –implementation-key people-competitors-technologies involved –OPPORTUNITY :match/recommendation against existing facts in the database!

Single use case examined here – there are hundreds like these parsed each day.

Potential for reference data and opportunity indexing.

Innovative Financial Data Visuals Software

Stock Touch : Stock “Heat Maps”

Centrifuge : Visual Network Analytics of Fraud