This webinar has been recorded and available on YouTube.
Analyzing diverse data from multiple sources is a complex task. For a start, matching concepts and entities across disparate data sources and recognizing that they are mentioned in texts requires clear disambiguation of their meaning. This is something that comes easy to people, but computers often fail to do right.
The most common types of entities – especially when dealing with business information – are People, Organizations, and Locations (POL). In this webinar, you will see how graph analytics on top of Ontotext’s Knowledge Graph (loaded with about 2 billion triples in Ontotext’s GraphDB) can provide entity awareness about POL. The graph combines several open data sources. It has been mapped to the FIBO ontology and its entities have been interlinked to 1 million news articles.
In the live session, Atanas Kiryakov will demonstrate the power of cognitive graph analytics to create links between various datasets and lead to knowledge-discovery/” target=”_blank” rel=”noopener”>knowledge discovery. Watch the video to learn more!
Q&A’s from the webinar
Check our blogpost with questions and answers from the live session.
Topics covered
- Importance ranking of nodes, based on graph centrality;
- Popularity ranking, based on news mentions of the company and its subsidiaries;
- Retrieval of similar nodes in a knowledge graph and determining distinguishing features of an entity.
Webinar Duration: 60 min + 10 min Q&A
Live Webinar: Yes
Live Question Answering: Yes
Resource After Webinar: Recording and Presentation
