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

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LinkedIn has been forced to ‘pause’ a feature in Europe in which the platform emails members’ connections when they’ve been ‘mentioned in the news’. This follows a number of data protection complaints after LinkedIn’s algorithms incorrectly matched members to news articles — triggering an internal review of the feature. LinkedIn told us it subsequently decided […]

>)You may have read that companies such as Amazon, Facebook, Microsoft, JPMorgan and Bank of America have made large investments to develop their own proprietary knowledge graphs, to make “strategic use of data and extend business boundaries[1]”.How is this relevant to the “SQL World”?What does this have to do with you, the SQL/relational database professional? Why should you care that there is a new world of databases that is alien to most relational databases experts and users?For the near future maybe you shouldn’t care. After all, about 80% of the database infrastructure in the world is relational, so for you SQL is a sure bet.But wait, here’s big data, ever growing big data. Big data is complex, it has variety and it is difficult to

The coronavirus pandemic is disrupting universities and research institutes across the world. But the same institutions are also working very hard to find out how the disease can be stopped and its effects mitigated.

Lee — to pioneer ways of giving people control over their own personal data. Solid maintains that people should be free to share “whatever they want with whomever they want.” The key to this mechanism of control is a personal data “Pod”

Slides for my summer school talk on ML and Embeddings for Knowledge Graphs

.@Gartner Magic Quadrant for Metadata Management Solutions is out, and includes 2 vendors whose solutions rely on #knowledgegraphs #semantics #ontology #graphdatabase Congrats @datadotworld @semwebcompany https://www.gartner.com/en/documents/3970385

AI is fundamentally very simple but diving deep to understand it can be complicated. My aim is to make it merely complex and to understand…

→ Cet article en Français I’ve been experimenting with a way to show how Wikidata represents knowledge; specifically how it makes pathways out of relationships between things. In a previous p…

Meaning-First data modeling for #semantic #knowledgegraphs: a replacement to Structure-First modeling. The relational model was a great start for #datamanagement, but it is time to embrace a radical return to simplicity: Meaning-First data modeling #data

up the value of e anytime I need it (figure 1);Figure 1. A data dictionary with key and value of arithmetic expressions.(ii) if I do not have that option then the only other alternative to get the value of e is to actually compute the arithmetic expression and get the corresponding value. The first method, let’s call it the data/memorization method, which does not require me to know how to compute e while the second does. That is, in using the second method I (or the computer!) must know the procedures of addition and multiplication, shown in figure 2 below (where Succ is the ‘successor’ function that returns the next natural number).Figure 2. Theoretical definition of the procedures/functions of addition and multip

Recycle, Reuse and Reduce also for data models! Why waste time remodeling the same data, just because you go to graph? Learn how to auto-generate graph data models (for Neo4j) from legacy data models in UML, XML, ERD, concept maps and other formats. Missing something on the list? Let the author know! New: FileMaker db's as Graph Data Models!

It was hard to top last year’s demonstration of the new Microsoft 365 experienced powered by the Microsoft Graph. The focus this year shifted to how the graph could break down application and device silos to make everyday applications more user-centric.

#Microsoft Project Cortex Builds A Custom #KnowledgeGraph for Your Company. Service brings #AI to the vast quantities of #data companies store within #Microsoft365. Unlocks knowledge stored about a topic/client/project inside of documents, surfaces them

#NLP is now good enough that we can measure how well systems reads text in terms of extracted knowledge: Knowledge Base Population @diffbot released KnowledgeNet reproducible #dataset to measure this, w #opensource state-of-the-art baseline #research #AI

How "talking semantics" can help you perform better #DataScience. @palexop #StrataData talk in New York slides now available #dataModeling #semantics

A blueprint for the next @apachetinkerpop and an analysis on #opensource. @twarko @_mmadt #presentation from @DataDayTexas #GraphDB #data #tech #cloud #insight #softwareengineering #softwaredevelopment #AWS

The first public presentation of mm-ADT at ApacheCon 2019 in Las Vegas, Nevada.

some TypeScript type system features, such as discriminated type unions, powerful type inference, nullability checking, and type intersections, present an opportunity to both model what Schema.org-conformant JSON-LD looks like, while also providing ergonomic completions to the developer

Recently, I published schema-dts ( npm , GitHub ), an open source library that models JSON-LD Schema.org in TypeScript. A big reason I wanted to do this…

Today there are also strong user stories in the contexts of investigative work flows based on sets of suspects in graph-based analysis of crime, intelligence, fraud, churn, recommendations and other behavior / networking analytical areas.