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. The webinar will conclude with a brief overview of a case study on the eBay ShopBot.
Dr. Petra Selmer is a member of our Query Languages Standards and Research group, undertaking research into graph query languages and language standards, with the aim of evolving property graph querying. She also supports the openCypher project at www.opencypher.org. For many years, she worked as a consultant and developer in a variety of different domains and roles and has a PhD in Computer Science from Birkbeck, University of London, where she researched flexible querying of graph-structured data.
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