Populating the FLE Financial Knowledge Graph
published: Nov. 22, 2018, recorded: October 2018, views: 283
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
In Fujitsu Laboratories of Europe (FLE), we are developing a platform to get insights in the financial sector from the analysis of multiple heterogeneous data sources. At the core of the platform, there is a knowledge graph that is populated with new nodes and relationships as new data are ingested. The benefit of using a knowledge graph in our platform is threefold. First, it reduces the time spent on simple and repetitive data integration tasks. Second, the acquired knowledge is used by a virtual assistant to facilitate the data reconciliation process, thus users do not need to be experts to merge a new dataset. And third, it adds extra value to the customer information by linking knowledge to open and private data sources.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !