Knowledge Graphs are becoming the de-facto solution for managing complex aggregated knowledge, and Neo4j is the leading platform for storing and querying connected data.
In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.
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Knowledge Graphs and Chatbots with Neo4j and IBM Watson
Christophe is an expert on the Neo4j graph database and the Cypher query language. He is a skilled software engineer who has been involved in many Neo4j projects optimising complex Cypher queries, building enterprise-grade graph-based recommendation engines and developing search tools combining Neo4j and the Elastic Stack. He is also the author of the most popular PHP driver for Neo4j, the GraphAware PHPclient, Reco4PHP (a Neo4j based Recommendation Engine Framework) as well as GraphAware GraphGen, an open-source web-based tool for generating graphs. Christophe is based in Bruges, Belgium, and speaks fluent Dutch, French and English.