ComputableFacts: a Secure System to Store Documents and Graphs

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Graph APIs/Frameworks


This 20 minutes talk describes an automated data processing system, ComputableFacts, whose goal is to recover information from unstructured data in a variety of formats (such as Microsoft Office or Adobe PDF documents, emails, web pages, etc.) and convert it into a more usable form. Its key features are: Security: Data Engineering: Knowledge Engineering: Knowledge Dissemination:


Cyrille Savelief

Cyrille SAVELIEF is 34 years old and has worked 5 years as a Data Engineer for FactSet Research Systems Inc where he specialized in assisted and automated facts extractions from analysts research reports and financial statements. In 2011 he co-founded MNCC, a company providing services in Data Engineering & Analytics. During the past 3 years he specialized in applying NLP in the context of exploratory analysis of heterogeneous documents collections.