GraphAware Blog

In this 3-part series “Know what you know: Competing on Analytics with Knowledge Graphs” Dr. Alessandro Negro, Chief Scientist at GraphAware, walks you through analytics, knowledge graphs and its “competition”. In the first part we discussed the recipe for a successful analytics competition and shared some success stories. In the second part we saw the 4 first stages of the analytics revolution.

London, Oct 3rd - Redhorse Corporation has become an official reseller of GraphAware Hume, a mission-critical graph analytics solution, for the U.S. Federal Government. Redhorse will leverage its existing consulting expertise with GraphAware Hume to bring this solution to its National Security, Defense, and Intelligence Community customers.

In this 3-part series “Know what you know: Competing on Analytics with Knowledge Graphs” Dr. Alessandro Negro, Chief Scientist at GraphAware, walks you through analytics, knowledge graphs and its “competition”. In the first part, we discussed the recipe for a successful analytics competition and shared some success stories.

In this 3-part series “Know what you know: Competing on Analytics with Knowledge Graphs” Dr. Alessandro Negro, Chief Scientist at GraphAware, walks you through analytics, knowledge graphs and its “competition”.

In the series Graphs in Law Enforcement, we discussed data sources and modelling, data quality and credibility with source ratings, and we spoke about fusing entities.

In the first part of the series Graphs in Law Enforcement, Data sources and modelling, we discussed graphs in law enforcement investigations, their data sources, data provenance, INTs and how to model sources in graphs. In part 2, Data quality and credibility, we covered source ratings (source reliability & information credibility) and their importance in investigation graphs for law enforcement.

In this 4-part blog series “Graphs in Law Enforcement”, we will examine Data Sources in Law Enforcement Graphs, a talk by Luanne Misquitta, our VP of Engineering, at GraphConnect 2022.

Criminal investigations are driven by finding the connections and hidden links between wide-ranging sources of data to ultimately disrupt criminal activity. Graph solutions are a powerful tool for law enforcement to optimise their interaction with data from these varied sources.

We are proud to announce the release of Hume version 2.15. This release introduces several new Hume features, as well as Orchestra features and Amazon SQS support.

So far, we have learned about collaborative filtering, content-based, and session-based recommendations. None of these approaches takes the situational context under consideration. Factors such as mood, occasion, location, company, etc., can affect user preferences and needs. Context-aware recommendations take these conditions into account to provide more relevant recommendations.