Community Edition
How Data Fusion Works
OVERVIEW

Data Fusion brings sources together in an intuitive way using semantic web technologies and relying on industry standards such as the Resource Description Framework (RDF) already employed by other Thomson Reuters solutions, such as Thomson Reuters Intelligent Tagging and PermID.  Proprietary structured and unstructured (using OpenCalais) client content can be seamlessly integrated including into the the larger Thomson Reuters Knowledge Graph if desired.



PermIDs are a critical key of the offering, as they allow to seamlessly “stitch” the same entities across different Thomson Reuters and client data sources into a single high fidelity Knowledge Graph.  Essentially, big and scattered data turns into a single, interconnected relationship graph that is greater than the sum of its parts and allows to draw new insights. For example, a financial analyst can connect a Reuters story about human trafficking in Thailand to a UK-based supermarket chain through its ownership and supply chain data.

The Data Fusion API allows you to perform programmatically all typical Data Fusion tasks including ingest, search, and traversal.  The API is the primary interface for external applications to interact with the Data Fusion platform. It also powers the Data Fusion UI. 

All API calls are RESTful, return standard JSON, and use OAuth 2.0 for security.