A specification for integrating structured data • Yoast Developer Portal
This page describes our functional and technical approach to constructing schema.org markup.
GraphNews
A Survey of Adversarial Learning on Graphs. (arXiv:2003.05730v1 [cs.LG])
Deep learning models on graphs have achieved remarkable performance in
A Survey of the First 20 Years of Research on Semantic Web, Linked Data and Web of Data | LinkedIn
This paper is a survey of the research topics in the field of Semantic Web, Linked Data and Web of Data. This study looks at the contributions of this research community over its first twenty years of existence.
A Survey on Knowledge Graphs: Representation, Acquisition and Applications | DeepAI
This survey provides #knowledgegraph review: KG representation learning, knowledge acquisition & completion, temporal KG, KG #applications. It summarizes recent breakthroughs & perspective directions to facilitate future #research #AI #data h/t @aaranged
A Survey on The Expressive Power of Graph Neural Networks
accessibility@cornell.edu for assistance.
A Symbiotic Relationship: Knowledge Graphs & Machine Learning
world domain. A cursory Google search will result in
A Taxonomy of Graph Use Cases – Dan McCreary – Medium
For the past year I have been doing a deep dive into when to apply graph technologies in a large fortune 10 healthcare company. I have…
A Walk Around the Block with KBpedia | AI3:::Adaptive Information
This article provides a walk around the KBpedia knowledge graph and structure -- how to use it, what it does, and how to learn more about it.
Aaron Bradley on Twitter
Hey Dan, thanks for the ping. First of all, I'll point y'all to a related thread a few weeks ago... https://t.co/haTtBJfAhA 1/24— Aaron Bradley (@aaranged) February 25, 2019
Aaron Bradley on Twitter
If there's any doubts that Apple's Siri is (or at least leverages) a knowledge graph, they're laid to rest with this job posting from Apple > Siri - ML Engineer - Knowledge Graph - Apple (CA) https://t.co/1PFdecMk9V— Aaron Bradley (@aaranged) January 21, 2019
Aaron Bradley on Twitter: "In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?"
In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?— Aaron Bradley (@aaranged) January 29, 2019
Aaron Bradley on Twitter: "The author of this Google doc, @jonoalderson, plans to make it "into a little website with structured/interlinked guidelines" but it's worth reading now > A general specification for implementing structured markup (using #schema
The author of this Google doc, @jonoalderson, plans to make it "into a little website with structured/interlinked guidelines" but it's worth reading now > A general specification for implementing structured markup (using #schema.org and JSON-LD) https://t.co/CxnQLx7MNb— Aaron Bradley (@aaranged) January 28, 2019
Aaron Bradley on Twitter: "This job posting from Microsoft provides some clues about where Satori is going - and by extension what we might expect to see in Bing. The extraction and curation of information "from data sources in public domains" is especial
This job posting from Microsoft provides some clues about where Satori is going - and by extension what we might expect to see in Bing. The extraction and curation of information "from data sources in public domains" is especially interesting. https://t.co/KtMt6Rrg2i pic.twitter.com/sVI1JE1WLd— Aaron Bradley (@aaranged) May 24, 2019
Aaron Bradley retweeted: To help promoting the usage of @wikidata , here's another attempt to explain properties of statements with one of the most used qualifiers "start time" (pq:P850). Try it: https://t.co/tvOeWK7qBM #SPARQL #LinkedData https://t.co/Rs
To help promoting the usage of @wikidata , here's another attempt to explain properties of statements with one of the most used qualifiers "start time" (pq:P850).Try it: https://t.co/tvOeWK7qBM#SPARQL #LinkedData pic.twitter.com/RshdPRx92D— Ivo Velitchkov (@kvistgaard) February 20, 2020
Abhishek Singh posted on LinkedIn
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About Link Reification, Multi-Typing, Meta-Modeling … & Zen
Modeling_EN.md(Also available in French, by replacing EN by FR at the end of the URL)Trying to make a shorter answerAnd then I decided to make him a synthesis about the role of each feature …… and while writing this synthesis, I suddenly realized that these 3 features were all in connection with a problem of decompartmentalization !In fact, modeling paradigms often tend to compartmentalize the "things" ...... by
Accenture Knowledge Graphs
As I mentioned here before, Knowledge Graphs are the new Black! Even more important, they are a fundamental building block of a data driven enterprise ... 17 comments on LinkedIn
Adam Cowley on Twitter: "How to calculate TF-IDF in @Neo4j using only Cypher. TD-IDF is used in an #NLP pipeline to calculate the importance of a term within a document compared to a set of documents as a whole. Say you have a model of (:Document)-[:MENTI
How to calculate TF-IDF in @Neo4j using only Cypher. TD-IDF is used in an #NLP pipeline to calculate the importance of a term within a document compared to a set of documents as a whole.Say you have a model of (:Document)-[:MENTIONS]->(:Term)1/— Adam Cowley (@adamcowley) April 6, 2019
Adarga closes £5M Series A funding for its Palantir-like AI platform
#AI startup Adarga closed a £5M Series A #funding. Adarga allows organizations to transform normally data-intensive, human knowledge processes by analyzing vast volumes of #data. Adarga clients can build up a #KnowledgeGraph about subjects and targets
Adrian Gschwend on Twitter: "I would like to point to a crowd-funding of 📊 @rawgraphs, a project I find super interesting for a while and now they want to rewrite it. I think SPARQL and RAWGraphs can become best friends and so do they so help them getting
I would like to point to a crowd-funding of 📊 @rawgraphs, a project I find super interesting for a while and now they want to rewrite it. I think SPARQL and RAWGraphs can become best friends and so do they so help them getting there! https://t.co/VI0gK0ZZIS pic.twitter.com/UszINmFyuw— Adrian Gschwend (@linkedktk) October 2, 2019
Adrian Gschwend on Twitter: "My interpretation of the W3C Graph Workshop wrap-up session today in Berlin. Sorry for the ones I left out, I focus on the ones I participated/understood, mostly around RDF. Feel free to contribute! Sessions/minutes are linked
“My interpretation of the W3C Graph Workshop wrap-up session today in Berlin. Sorry for the ones I left out, I focus on the ones I participated/understood, mostly around RDF. Feel free to contribute! Sessions/minutes are linked here: https://t.co/P3oV4Xshwr #W3CGraphWorkshop 👇”
Adrian Gschwend on Twitter: "Swiss EPFL's Blue Brain Nexus Project @bluebrainnexus released Nexus v1.0, which is from what I can see among others a SPARQL endpoint. I did not play with it yet but sounds like something to check out! https://t.co/y30L5thM44
Swiss EPFL's Blue Brain Nexus Project @bluebrainnexus released Nexus v1.0, which is from what I can see among others a SPARQL endpoint. I did not play with it yet but sounds like something to check out! https://t.co/y30L5thM44— Adrian Gschwend (@linkedktk) April 3, 2019
Adrian Gschwend on Twitter
How to query #Wikidata (or any other #LinkedData endppoint) from within #rstats? @kala_karu explains. Documented code here: https://t.co/L9b8CEJWNu #tutorial #datascience #knowledgegraph #data #tech h/t @linkedktk @statistik_zh
Advances in machine learning for constructing biomedical knowledge graphs
consuming because experts are required to pick out biomedical inte
Adventures in big data wonderland: Going down the Pinterest Path
Tamara Louie | Data Scientist, Discovery
Afraz Jaffri posted on LinkedIn
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Agricultural Ontologies in Use: New Crops and Traits in the Crop Ontology | CGIAR Platform for Big Data in Agriculture
The Ontologies Community of Practice is engaged in the development of ontologies for agricultural research. In a series of blog posts, we’ll take a look at ongoing ontologies projects and developments.
Agronomic Linked Data (AgroLD): A knowledge-based system to enable integrative biology in agronomy
Recent advances in high-throughput technologies have resulted in a tremendous increase in the amount of omics data produced in plant science. This increase, in conjunction with the heterogeneity and variability of the data, presents a major challenge to adopt an integrative research approach. We are facing an urgent need to effectively integrate and assimilate complementary datasets to understand the biological system as a whole. The Semantic Web offers technologies for the integration of heterogeneous data and their transformation into explicit knowledge thanks to ontologies. We have devel...
Ahren Lehnert latest blog on knowledge management, knowledge graphs and ontologies #knowledgemanagement #knowledgegraphs #ontology buff.ly/2uDuv7V https://t.co/DdPxioGxnE
#Knowledgegraphs are a natural fit for knowledge management: they model domains to retain more context & meaning even as information is parsed and abstracted for digital representation. Information is modeled in a way that is more intuitive & useful
AI & Graph Technology: AI Explainability
Read the fifth and final installment of our blog series on artificial intelligence and the ways AI explainability adds context for credibility.