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

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

.@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

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…

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

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

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

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Call records analysis with graph visualization.

And Find out who are the most Influencers in Game of ThronesContinue reading on Towards Data Science »

#Healthcare #knowledgegraphs typically compiled manually by experts. Researchers experimented w automatically generating KGs from patient #data. MIT #research studies how well they hold up across different diseases/patient populations #EmergingTech #AI

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As a data modeler I’m always searching for ways to learn more about data modeling. The more I read and learn about it – on top of what I have already learned and used -, the more sense it all…

This article shows how an RDF Graph CRUD application can be rapidly developed, yet without losing the flexibility that HTML5/JavaScript offers, from which it can be concluded that there is no reason preventing the use of RDF Graphs as the backend for production-capable applications.