Over 10,000 physical typewritten documents from 1932 to 1941 had to be digitised, structured, and connected in order to create a single, centralised source of knowledge, for enabling the analysis of historical processes.
With more than 9 million users and 21 million repositories, Github is the world’s biggest code sharing platform. Its API offers a window to the public activity of about 600.000 events a day. In this talk you will discover how this amount of user activities transformed in a suitable graph can become a new source of knowledge.
Vince Bickers, Principal Consultant, GraphAware, contributor to Spring Data Neo4j:Learn about the latest version (v4) of Spring Data Neo4j (SDN). Neo4j is the world’s leading graph database, a scalable, open-source NoSQL solution for your data relationships. Spring Data offers convenient APIs for Spring Developers to build modern applications using new data stores. It supports object-mapping, DAO repositories and consistent access to underlying database APIs.
Michael Bachman of GraphAware discusses how to build a high-performance recommendation engine with Neo4j. He discusses business and technical challenges and shows their Java and Cypher code.
Podcast Interview with Michal Bachman, GraphAware by Rik Van Bruggen.
Graph Databases are naturally well-suited for building recommendation engines. In this talk, Christophe will share his experience building a number of production-ready recommendation engines using Neo4j and introduce the open-source GraphAware Reco4PHP Library, which enables PHP developers to rapidly build their own recommendation systems.
Building Spring Data Neo4j 4.1 Applications Like A Superhero: The latest release of Spring Data Neo4j 4.1 offers advanced features to map your Java domain models to the Neo4j Graph Database. Powered by the Neo4j-OGM library, it offers you the convenience and familiarity of Spring-based programming. After this introductory tour of its features, followed by a demonstration of how easy it is to rapidly build an application, you’ll have the confidence to start developing with Spring Data Neo4j 4.1 today.
A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of knowledge for further processing. By Alessandro Negro, Chief Scientist, GraphAware.
