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Tuesday, October 24 • 4:45pm - 5:25pm
Enhancing Knowledge Graph Search with Elasticsearch

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Emil Eifrem highlighted knowledge graphs in his keynote at GraphConnect London 2017. Last year, Forrester said "Knowledge graphs provide contextual windows into master data domains and the links between domains" (The Forrester Wave, Master Data Management). Knowledge graphs are the key to providing the semantic and link analysis capabilities required by modern applications.

Providing relevant information to the user performing search queries or navigating a site is a complex task. It requires a huge set of data, a process of progressive improvements, and self tuning parameters together with infrastructure that can support them. To add to the complexity, this search infrastructure must be introduced seamlessly into the existing platform, with access to relevant data flows to provide always up-to-date data. Moreover, it should allow for easy addition of new data sources to cater to new requirements, without affecting the entire system or the current relevance.

In all e-commerce sites, text search and catalog navigation are not only the entry points for users but they are also the main salespeople. Compared with web search engines, this use case has the advantage that the set of items to be searched is more controlled and regulated.

In this talk, Luanne will share insights about the business value of knowledge graphs and their contribution to relevant search in an e-commerce domain for a Neo4j customer. With text search and catalog navigation being the entry point of users to the system and in fact, driving revenue, the talk will explain the challenges of relevant search and how graph models address them.

Dr. Alessandro will then talk about various techniques used for information extraction and graph modelling. He will also demonstrate how to seamlessly introduce knowledge graphs into an existing infrastructure and integrate with other tools such as ElasticSearch, Kafka, Apache Spark, OpenNLP and Stanford NLP.

avatar for Luanne Misquitta

Luanne Misquitta

Principal Consultant, GraphAware
Luanne Misquitta is a Principal Consultant at GraphAware. She is one of the earliest Neo4j community members and has been using Neo4j since 2009. Luanne organizes and runs all Neo4j training in India and is a core committer to Neo4j OGM and Spring Data Neo4j. She is based in Abu... Read More →
avatar for Alessandro Negro

Alessandro Negro

Chief Scientist, GraphAware
Dr. Alessandro Negro is the Chief Scientist at GraphAware. He has been a long-time member of the graph community and he is the main author of the first-ever recommendation engine based on Neo4j. At GraphAware, he specialises in recommendation engines, graph-aided search, and NLP. He... Read More →

Tuesday October 24, 2017 4:45pm - 5:25pm PDT
Room 4