Refinitiv US Organization LLC

Financial & Risk Organisation Limited

Lucas Carstens

Jochen Lothar Leidner

Sameena Shah

Armineh Nourbakhsh

Blake Howald

John F Duprey

Tim Nugent

Natraj Raman

Fabio Petroni

Zarko Panic

Krzysztof Szymanski

John Duprey

Jochen Leidner

The present invention relates to a computer-based system for identifying supply chain risks and generating supply chain graphs representing an interconnected network of entities. An industrial graph database application is configured to account for direct and indirect (transitive) supplier risk and importance, based on a weighted set of measures: criticality, replaceability, centrality and distance. A graph-based model serves as an interactive and visual supply chain risk and importance explorer. A supply network is induced from textual data by applying text mining techniques to news stories and used to populate the supply chain/graph database.

Risk identification engine and supply chain graph generator

A method of providing cross-media event linking may include: receiving, at a first input of an event coreferencing system, a stream of social media postings, and at a second input, a stream of news articles; generating, by the event coreferencing system, a first set of event representations representing events referenced by the social media postings, and a second set of event representations representing events referenced by the news articles; determining, by the event coreferencing system, that at least one of the social media postings references a same event referenced by at least one of the news articles, the determining including determining at least one similarity using data of at least one of the first set of event representations corresponding to the at least one of the social media postings and data of at least one of the second set of event representations corresponding to the at least one of the news articles; and transmitting, by an output of the event resolution system to the user system, an alert including at least one coreferenced event representation representing the event referenced by the at least one of the social media postings and the at least one of the news articles.

Systems and methods for cross-media event detection and coreferencing

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London, United Kingdom

Lucas Carstens