GraphNews

NASA says graph is proving an ideal tool for helping improve astronaut experience on the International Space Station

It’s the engine that makes an AI advisor feel like a data expert in your pocket — find out what it does.Continue reading on Ideas @ iGenius »

The personal website of Pieter Heyvaert where you can find all his publications and blog posts.

With the huge volume of research now available, and the ability to manage and analyze enormous amounts of data, you could say there has never been a better time to be a researcher. The opportunities to build on each other’s work are greater than ever.However, all that information brings challenges, with researchers indicating that just navigating all that information takes more time than ever.So how about a system of information that could give researchers precise answers to their questions immediately, rather than having to browse a list of webpages that might hold the answer deep in the text?Researchers at Elsevier's DiscoveryLab – part of the Innovation Center for Artificial Intelligence (ICAI) in Amsterdam – are building a system to deliver just that. Dr. Frank van Harmelen, Professor of Computer Science at the Vrije Universiteit (VU) Amsterdam and Academic Director of Elsevier's DiscoveryLab, explained:What we’re developing is an integrated knowledge graph for resea

thirds of all clinical trials to find new…Continue reading on Medium »

.@GitHub makes CodeQL #semantic code analysis engine free for #research, #opensource development. A semantic code graph of all public repos offers enormous opportunities to understand/improve #softwaredevelopment patterns/quality/security #data #analytics

world relationships to be recorded and analysed without losing information. Questions can then be asked of the data, such as the strength and direction of relationships between objects in the graph. Graphs are mathematical structures utilised to model numerous forms of relationships and processes in information

Using cutting-edge technology like Neo4j to understand new ways of working.

The demand for high-quality AI training data only seems to be increasing. When the company that made the world’s largest search engine creates a search engine specifically for datasets, it’s bound to get AI developers and machine learning researchers excited.

.@bill_slawski dissects #Google patent for mapping images, shows how entities in the #knowledgegraph can be mapped together to reflect related entities h/t @aaranged #innovation #research #EmergingTech #AI

A look at why graphs improve predictions and how to create a workflow to use them with existing machine learning tasks.

The Journalists of the ICIJ used graph technology to understand the relationships between the leaked pieces of information in the Panama and Paradise Papers. N…

tech, Gunosy Ads, and the Gunosy Ad Network. The information curation service collects and distributes information sourced from the vast amount of information on the internet, filtered by specific criteria. Gunosy uses algorithms to collect and organize information to deliver the right information to the right people.” News Pass is a free applicatio

How I learned to stop worrying and love the graph database. A #graphdatabase is basically a database of connections. It’s the #technology that allows social networking sites like Facebook or LinkedIn to map connections between their users

bound task that can take months for subject matter experts (typically researchers, clinicians, and health professionals) to comple

Managing multiple truths in #datamodeling, #ontologies & #knowledgegraphs by @palexop #semantics #vagueness #datascience #dataengineering #EmergingTech #dmzone #presentation

Here's how Graph database technology from Amazon is helping Paysense do credit intelligence and risk assessment at scale. Amazon Neptune.

Tech4pets is helping animal welfare associations and authorities dismantle pet trafficking networks through the collection and analysis of online data.

Knowledge graphs are at the core of many of the tools that we use in our daily lives, such as voice assistants (Alexa, Siri or Google Assistant), intuitive search applications and even online store recommenders. Not only internet giants but also companies from other industries such as BBC, Capital One, Electronic Arts or AstraZeneca have already integrated the technology and are using knowledge graphs to harness the power of all of the data they have accumulated over the years.

Knowledge Graph – A Powerful #DataScience Technique to Mine Information from Text. Learn how to build #knowledgegraph using text from Wikipedia pages, using #Python & popular spaCy #opensource library #softwaredevelopment #data #tutorial @AnalyticsVidhya

Learn how to leverage breadth-first search and dijkstra's algorithm to build a route planning application with Memgraph and Cypher.

taking app popping up every single week, it can be hard to decide which one is the best for your use case.

Boosterme is a project, in construction, to build a personal knowledge graph.

The way in which general encyclopaedic knowledge is collected, curated and used has changed dramatically. Anyone in the world can edit Wikipedia at any time, as a registered user or anonymously. This happens in parallel in different languages. To include all even minority languages and avoid a misal

A practical overview of graph machine learning approaches and how to apply them to your work

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In this post we show you how to load the Bitcoin blockchain efficiently into a graph database in a single day.