This is a continuation of the discussion that originates on this StackExchange post, about recommender systems using knowledge graphs(KGs). For those who might not prefer reading the original post,...

A knowledge base can be thought of as a data encyclopedia that’s specific to an organization, subject domain or location.

A critical distinction between machines and humans is the way in which we reason about the world: humans through high order semantic abstractions and machines through blind adherence to statistics.

In 2012 I started my .NET implementation of R2RML and RDB to RDF Direct mapping which I called r2rml4net. It never reached the maturity it should have but now, 8 years later, I have little choice but to polish it and use it for converting my database to triples. A task I had originally intended but never really completed. Why is it significant? Because all those years later the environment around R2RML as a standard is almost as broken, incomplete and sad as it was when I started. Let’s explore that as an example of what is wrong with RDF in general. It has been brought to my attention that Morph is in fact actiavely maintained. I’ve updated it’s details and evaluation. Intro. What is R2RML? R2RML and Direct Mapping are two complementary W3C recommendation (specifications) which define language and algorithm respectively which are used to transform relation databases into RDF graphs. The first is a full blown, but not overly complicated RDF vocabulary which lets designers

I’m a big fan of Schema.org. A while back I generated an OpenAPI 2.0 (fka Swagger) definition for each one and published to GitHub. I’m currently cleaning up the project, publishing them as OpenAPI 3.0 files, and relaunching the site around it. As I was doing this work, I found myself thinking more about why Schema.org isn’t the goto schema solution for all API providers. It is a challenge that is multi-layered like an onion, and probably just as stinky, and will no doubt leave you cryin

A knowledge graph can understand what they’re actually looking for in the real world, and it can get your customers exactly what information they need.

Welcome to PyCon India CFP Technical talks are the most important event at PyCon India, the core of the conference essentially. Two of the four days are dedicated to talks. Talks are short lectures (30 min slot) supported by a presentation. Speakers come from the Python community. Talks are selected through a CFP (Call For Proposals) process. Interested members of the community propose their talks. An editorial panel designated by the organizers makes the selections. The 2018 edition of the conference saw some 267 proposals, of which 31 were selected. CFP applications from the previous year...

Wikidata is arguably one of Wikipedia's most successful sister projects. It had a profound impact on Wikipedia in just a few years.

.@Wikidata is a community-maintained knowledge base that epitomizes FAIR principles of Findability, Accessibility, Interoperability, Reusability. Collection of #opensource tools simplify addition synchronization of Wikidata w source #databases h/t @danbri

Microsoft tells us that they are looking to identify related entities to entites that are associated with sites; and tools and take aways about entiries.

Yoast SEO 11.0 comes with a revamped Schema structured data implementation. It's the first plugin to produce a full graph. Find out more!

AtOoEEeib8ndhFNAFIw/citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.538.7139&rep=rep1&type=pdf , the original “Knowledge Graph” that Google acquired, has been the promise of pushing data control aspect from the database to the application layer including the possibility of people rolling their own situated personal ontologies in the expectation for being able to reconcile them through peer to peer interactions.Freebase exercised full control over the “Schema” and has demonstrated a million fold leverage of meta level knowledgeIn it’s day it had over 3000 million nodes and 3000 carefully defined and curated edge types.Years later Wiki

A beginner's guide to help you get started with Obsidian, a new note-taking app similar to Roam Research, and based on the way the human brain works, it can provide you with a richer note-taking experience.

Ontology Model

16” (16 vCPUs, 104 GB memory) virtual machine on the Google Cloud Platform with 3 local SSDs held together with RAID 0. This should provide us with enough fast storage to store the raw TTL data, munged TTL files

yWorks’ submission to the Graph Drawing Contest 2018 in Barcelona, Spain