Knowledge graphs are a way of structuring information by representing entities and the relations between those entities. Using a clear ontology, computing power, and machine learning, knowledge graphs’ flexible structure make them exceptionally well-suited to link structured and unstructured data together at scale.
In this session, Refinitiv Labs will share their recent experience of using knowledge graphs to stitch data in completely siloed databases together, which can now be distributed robustly via a unified API.
Sign-up to this Learn-It-All Lab, where the team will share:
- An intro to Knowledge Graphs - what sets them apart from traditional databases?
- Why Knowledge Graphs are currently so underutilized in finance
- Overcoming typical challenges, including data matching issues, with a new approach to data linking
- Project Infura - a look at the new interlinked and integrated database of global infrastructure project information and financing data
Time: 30 minutes
Login Details: Shared after registration
Refinitiv Knowledge Graph
A graphical network based on the Refinitiv Knowledge Graph data set brings to life a comprehensive view of the financial ecosystem, so that you can uncover new, unexpected, or difficult to find insights from connected data.
Using verified Big Data management principles and machine learning techniques, Refinitiv Knowledge Graph provides a trusted data source and model for you to leverage, build your enterprise solutions on top of and benefit in new, connected ways from the breadth of the Refinitiv open platform.