GraphAware Blog

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What’s new in Hume 2.10: Commenting, Data distribution, a new Documentation Portal and much more!

What’s new in Hume 2.10: Commenting, Data distribution, a new Documentation Portal and much more!

20 Oct 2021 by Esther Bergmark · 6 min read Hume GraphAware

We are proud to announce the 2.10 release of Hume. With this release, Comments are introduced to Hume, which lets you add text, images, and links as comments to nodes and relationships. Additionally, Snapshots can now be shared, and Temporary Visualisations can be created and accessed by other users via a URL.Hume’s powerful Actions capability has been further improved in terms of usability and Geospatial and Temporal Analysis, as well as Grouping which has been further improved and is now no longer experimental but generally available.In Hume 2.10 you can: Add conclusions to the analysis using Comments. Collaborate with others...

5 things you should know about Knowledge Graphs

5 things you should know about Knowledge Graphs

14 Oct 2021 by Alexandra Klacanova · 9 min read Knowledge Graph Hume

Welcome to the first blog in the business series of GraphAware blog! This series is designed for us non-techies out there. Personally, I was shocked when I found out how big and common knowledge graphs are and how often graph databases are used in today’s world - and I had first heard of them just a couple of months ago. So, for people like me, for marketers and non-tech people in business, I’ll try to open the door to the world of graphs, and their potential and take you through it step-by-step. It seems only appropriate that we start with...

Effective Graph Visualisations: Virtual Relationships

Effective Graph Visualisations: Virtual Relationships

06 Oct 2021 by Christophe Willemsen · 3 min read Hume Visualisations Knowledge Graph

This blog post is the first part in a series on Effective Graph Visualisations, showcasing features emerging from years of experience in the field.Virtual Relationships: What and Why?Unlike in other storages, graph databases are making indirect relationships evident and often more important than direct relationships.From a visualisation perspective, implicit relationships might not be so easy to discover as the amount of direct relationships will often be the first obstacle analysts will encounter when performing their job.To illustrate this obstacle, we will use a graph having the following schema:An analyst will be interested in figuring out which articles mention organisations of...

What you need to know before you choose microservices

What you need to know before you choose microservices

29 Sep 2021 by Zsolt Katona · 5 min read Engineering

“Alright, could you please tell us a few benefits and drawbacks of working with microservices?” - starts the usual tech interview question, and the traditional answer often follows: “They’re smaller; therefore, they’re easier to develop and to troubleshoot. There’s better scaling control on parts of the system. They can be written in different programming languages. They can be deployed individually.”In this series of articles about microservices, we’ll go through the widespread notions of what it feels like to work with microservices. We’ll attempt to explain under what circumstances some - arguably a little blunt - misconceptions hold true. We’ll do...

Knowledge Graph Perspectives: building bridges from RDF to LPG

Knowledge Graph Perspectives: building bridges from RDF to LPG

23 Sep 2021 by Giuseppe Futia · 8 min read Knowledge Graph Hume RDF LPG

Knowledge Graphs (KGs) have become one of the most powerful tools for modeling the relations between entities in various fields, from biotech to e-commerce, from intelligence and law enforcement to fintech. Starting from the first version proposed by Google in 2012, the capabilities of modern KGs have been employed across diverse applications, including search engines, chatbots, and recommendation systems.There is currently a twofold perspective that characterizes KGs. The first perspective focuses on knowledge representation, in which the graph is encoded as a collection of statements formalized using the Resource Description Framework (RDF) data model. Its goal is to standardize the...

Welcome to our Engineering blog!

Welcome to our Engineering blog!

20 Sep 2021 by Luanne Misquitta · 1 min read Engineering

Today, I’m happy to launch GraphAware’s Engineering blog!GraphAware was born quite some years ago, primarily out of the ideas from CEO Michal Bachman’s MSc. thesis.As some of the most experienced Neo4j people you can find started to cluster in this company, the GraphAware framework evolved and our blog grew. Many of our blog posts around Neo4j and Knowledge Graphs are still heavily referenced. We continued to grow and started to build a product engineering team to work on Hume.Along the way, we learned and adapted, we tried new things and gave up old ones, we celebrated successes and failures. We’re...

Following the digital breadcrumbs and graphing the blockchain

Following the digital breadcrumbs and graphing the blockchain

15 Sep 2021 by Rieya Piscano - Chief Data Officer at Breadcrumbs · 2 min read Blockchain Investigation

Breadcrumbs is a blockchain analytics platform accessible to everyone. It offers a range of tools for investigating, monitoring, tracking, and sharing relevant information on blockchain transactions.Inspired by the tale of Hansel and Gretel, our brand is committed to helping users find their way through the blockchain by following the digital breadcrumbs.Tale as old as (crypto) scamsIn 2018, Lorne Lantz was scammed by an ICO that led him to lose the funds he and his family invested. He approached existing blockchain analytics companies who told him they could only assist him if he paid a step fee of almost $30,000. Upset...

When a ding in your inbox prevents crimes and saves lives

When a ding in your inbox prevents crimes and saves lives

01 Sep 2021 by Esther Bergmark · 7 min read Hume Monitoring

Organisations do not suffer from a lack of data or qualified people who analyse it and draw conclusions but rather from the size of relevant data sets and the limited amount of time skilled people can spend on exploration and analysis. In this blog post we show how Hume Alerts can be used to solve this issue.But before we get started, I would like to take you to a very analog place, where, even without high speed internet, Alerts work.It is a sunny morning in early April in the North of Sweden, the air is cold and crisp. As I...

How does graph-based recommendation work

How does graph-based recommendation work

18 Aug 2021 by Alexandra Klacanova · 4 min read Hume Recommendations

Not so long ago, our very own Luanne gave an amazing talk titled Maltaware: Discovering what to drink with Neo4j on Nodes2020. Luanne demonstrated the value of graphs, and why they are the perfect fit for recommendation engines with an example of a whisky recommendation engine. Let me quickly walk you through a summary of why graphs and recommendation engines go together so well.Recommendation engines are everywhere - they are used to suggest products you may like, people you may know, places you could enjoy traveling to, and more. Recommendation engines provide immense value to businesses as they improve user...

What’s life like at GraphAware? Here’s everything you need to know

What’s life like at GraphAware? Here’s everything you need to know

12 Aug 2021 by Veronika Srncova · 6 min read GraphAware Hume People Experience

GraphAware is now going through an extremely exciting phase. In 2020, we launched our own amazing product Hume, the only graph-powered insights engine in the world, which helps companies shed light on their complex data and make smart decisions. Since then, we have been rapidly growing in all aspects. Our ambitious plans will need plenty of talented people, who want to have a direct impact on a company’s success. Right now, we are already advertising for multiple vacancies, and the number will only grow in the coming months (check out our career page if you are already intrigued).I believe it...