GraphAware Blog - Enterprise

Mining and Searching Text with Graph Databases

07 Jul 2016 by Alessandro Negro Neo4j GraphAware Enterprise NLP Search Advanced

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. Introduction NLP is used in a wide variety of disciplines to solve many different types of problems. Analysis is performed on text from different sources, such as blogs, tweets, and various social media, with size ranging from a few words to multiple documents. Machine learning and text...

Securing Neo4j with GraphAware Enterprise

29 Mar 2016 by Michal Bachman Neo4j GraphAware Intermediate Security Enterprise

For most organisations, data security is extremely important. The topic comes up every single time we are training, consulting, or otherwise engaging in the world of graphs and Neo4j. At the same time, security is very difficult and time-consuming to get right and the implications of getting it wrong can be serious. In this blog post, we introduce the integration of Spring Security into Neo4j which provides important security controls and mechanisms for enterprises and governments that make use of the world’s most popular graph database. Security in Neo4j Neo4j comes with certain security mechanisms out of the box. These...