GraphNews

This post commemorates the first anniversary of the series where we examine advancements in NLP and Graph ML powered by knowledge graphs! 🎂 1️⃣

19, trying to make sense of the data surrounding the virus is a Herculean task. Vast in volume and ceaselessly produced, this data emanates from domains as different as virology and economics and is produced by a multitude of people and organizations. Unsurprisingly the standards to which this data conforms are as multitudinous as its sources. It just so happens that making sense of messy data from disparate sources is one of the things at which knowledge graphs excel. Moreover, knowledge graphs make it possible to derive new knowledge from intelligently connecting information residing in those disparate data repositories. Given that the ability to better analyze data and gain new insights is of obvious use to people trying to respond to the pandemic, those working with knowledge graph technologies have started to talk about how those technologies – and their skills – might

We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades. Over the last few years, a number of new graph databases

This past fall, all aspects of the computable knowledge structure KBpedia – its upper ontology (KKO), full knowledge graph, mappings to major leading knowledge bases, and 70 logical concept groupings called typologies – became open source.

pandemic) and have our LinkedIn feeds (trained by AI, ironically) locked into the data management world, these trends are

My good friend Ed Sverdlin often begins our “Introduction to Graph Databases” presentations with the question “When did computing start?”…

In this work, we propose Knowledge Integration Networks (referred as KINet)

As part of my keynote address at the KM Showcase last week, I wanted to kick off the conference with a view of what I see as the top KM trends today.

For this blog Ahren Lehnert explains why this may be a golden moment for KM to address theoretical benefits in the context of real-world emergencies.

A mathematical theory is presented for the representation of knowledge in the

Knowledge Representation is a Tricky Business. The Choice Between Class and Instance Depends on Your Point of View #knowledgegraph #datamodel #AI #data #tech h/t @palexop

We introduce Kensho, a tool for generating mapping rules between two

#KnowledgeGraphs can be considered to be fulfilling an early vision in Computer Science of creating intelligent systems that integrate knowledge & data at large scale. A Brief History of Knowledge Graph's Main Ideas: A tutorial by @juansequeda http://knowledgegraph.today/paper.html

Why does software development velocity slow as a company scales? See how you can improve your company's knowledge graph with Kubernetes.

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At Stardog, we’re all about making it easy to unify data. That’s why we’ve just open sourced a set of tools to make working with Stardog even easier than before.

based entity recommendation framework

Slides of the LD tutorial at DH2019

Dependencies, like graphs, are everywhere. Achieving a goal is rarely possible in a vacuum and requires collaboration between individuals and/or process...

based models have shown their unique advantages in knowledge graph (KG)

CSV2RDF 2.0 released! https://t.co/mVvzk2LEXdCSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -now with named arguments (shout-out to @picocli) and a Docker image: https://t.co/Ac1CBFLhgM https://t.co/zyN9DW0qqT— Learning SPARQL (@LearningSPARQL) July 11, 2019

I love that SPARQL is the language used to compare the mentions of all the other programming languages here. https://t.co/PMclq0YViC— Learning SPARQL (@LearningSPARQL) November 30, 2018

“Look at what happens when you start playing around with #SPARQL queries… #Wikibase https://t.co/Q9pLZ8tS4Y”

Step-by-step tutorial: #RDF-ize tabular data, publish it and build an Angular front-end. Well done @ElvinDechesne! Clear and comprehensive explanations how to use OntoRefine for ETL in Part 1! #SPARQL #KnowledgeGraph https://t.co/ZF3XDw5wvV— Atanas Kiryakov (@kiryakov_ak) March 5, 2020

based re

This is a summary of a short talk I gave internally at the ODI to help illustrate some of the important aspects of data standards for non-technical folk. I thought I’d write it up here too, i…

How do search engines retrieve results? How can the #UnitedNations published content be more relevant? #LinkedData is structured #data interlinked w other data, making it more useful/discoverable through #semantic queries. UN launches linked data platform