Knowledge Graphs require highly contextual search results - something that is most efficiently realised with graph-based search. In this webinar, we will introduce what Knowledge Graphs are, how they can be used in Neo4j, and the tools and techniques that can be used to construct and enrich a Knowledge Graph, such as NLP, graph querying using Cypher, and inferencing, among others. We will also provide a brief introduction to the property graph model, Neo4j and some of its use cases.
Focusing on graph querying, Petra will expand on Cypher and some of its current features, and then describe extensions - either actively being developed or under discussion - taking graph querying (as well as Knowledge Graph management) to the next level.
Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.