Using Graph Analytics in Enterprise Applications
KGC 2020 • 19m
Graphs provide a new dimension to managing and analyzing data, and enterprises are keen to explore and adopt this technology. There have been some barriers to adoption, including a lack of familiarity with graph query languages and tools and challenges in integrating graph analytics into existing workflows without using specialized silos. We will illustrate customer use cases from three different industries and see how they overcome some of these challenges to successfully deploy solutions based on graphs, enabling significant impact on their businesses. The use cases are the use of RDF for a semantic terminology server in Pharma, use of RDF for linking public data sets (Department of National Statistics in Japan), and use of Property Graphs for fraud detection (Paysafe, an online payments solutions company).
Up Next in KGC 2020
-
Inventory Management using Knowledge ...
Predictive analytics in inventory management has not been the traditional domain of knowledge graphs and semantics; however, it is a surprisingly natural fit. This talk will review knowledge graphs in the supply chain and look into the details of implementation. In our central case, using a seman...
-
A Data Catalog Should be Your Organiz...
In this presentation, we'll cover why a data catalog is the first knowledge graph that an organization should build. Most organizations don't have a clear picture of their data assets and how they're being used - a data datalog helps provide that picture and unlock the value of data. We'll explor...
-
Entity Linking | The Symbiosis betwee...
The development and availability of Web knowledge repositories, in particular Wikipedia, as the largest general-knowledge encyclopedic collection, have changed remarkably not only the way in which individual users fulfill their informational needs but also the way in which information providers o...
