Knowledge Graphs | March 2021 | Communications of the ACM
Tracking the historical events that lead to the interweaving of data and knowledge.
SEO Turns to Data Graphs to Learn About the Web - Go Fish Digital
A Google patent describes how Google may read pages on the Web to build a large data graph that can be used to answer queries.
Introducing Knowledge Graphs into Organizations - Data Science Central
A little soup is quickly cooked. But if many chefs are working together on a larger menu that will eventually be appreciated by a banquet of guests, good prep…
Gladys Kemboi on LinkedIn: Creating a Knowledge Sharing Culture in Africa and Beyond: Chatting
Had a fantastic discussion with Gladys Kemboi on creating a Knowledge Sharing Culture in Africa through her efforts with the Global Knowledge Partnerships...
The promise of Wikidata: How journalists can use…
Wikidata can be a useful resource for journalists digging for data on a deadline. Here is a guide to using the community-edited database as a data source.
SEO | 2020 | The Web Almanac by HTTP Archive
SEO chapter of the 2020 Web Almanac covering content, meta tags, indexability, linking, speed, structured data, internationalization, SPAs, AMP and security.
Knut Jägersberg on LinkedIn: The emergent integrated network structure of scientific research
The emergent integrated network structure of scientific research "In this study, [they] propose a topic network framework for investigating the emergent...
A Definition of “Enterprise” in EKGs
Last week, I was discussing the key features of an Enterprise Knowledge Graph (EKG) with some colleagues, and I realized that although we…
Connected Papers partners with arXiv
We’re excited to announce a collaboration that we’ve been working on with the wonderful team at arxiv.org.
Learning SPARQL on Twitter
"GovData goes #SPARQL. From now on, queries on the original metadata are possible via a triple store endpoint:" https://t.co/eDvPCxgriO https://t.co/lvlagMyzsC— Learning SPARQL (@LearningSPARQL) January 30, 2021
Roberto Navigli on Twitter
Today is the day! #BabelNet 5 is out! https://t.co/ybsOc0WNmDNew interface, up-to-date content in 500 languages, 20 million synsets, WordNet 2020, and much more! Thanks to the great team behind this fantastic release! #knowledgegraphs #multilinguality @SapienzaNLP @Babelscape pic.twitter.com/5rCIEAixD0— Roberto Navigli (@RNavigli) February 2, 2021
Top 10 Use Cases: Knowledge Graphs
The Semantic Hypergraph — Graphbrain 0.4.0 documentation
Aaron Bradley on Twitter
Commonsense Knowledge Mining from Term Definitions / Zhicheng Liang & @dlmcguinness https://t.co/vvpfdQILCn pic.twitter.com/QV9yqS5sD2— Aaron Bradley (@aaranged) February 2, 2021
Collaborative planning in an uncertain world
In the wake of the coronavirus pandemic, organizations equipped with cloud-based systems and tools are poised for growth in a reformed landscape.
The next-gen healthcare platform powered by graph database
Multi-Model Database Use Case
Review: Metadata Day 2020
For a full day on December 14, 2020, LinkedIn sponsored a virtual workshop called Metadata Day, followed by a public online meetup called…
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot...
Understanding narratives requires reasoning about implicit world knowledge related to the causes, effects, and states of situations described in text. At the core of this challenge is how to...
The Topic of Concepts (or: The Concept of Topics)
In this blog, Bob discusses the tricky and subtle difference between Topics and Concepts in taxonomies
WikiResearch on Twitter
New #openaccess research from @jjkoehorst and colleagues: A protocol for adding knowledge to #Wikidata: aligning resources on human coronaviruses. #Covid19 Read it here: https://t.co/TWkHhRPlA1 pic.twitter.com/ayoSFs0ztd— BMC Biology (@BMCBiology) January 25, 2021
Graph Data Science 101: Using Graph Data Science in the Real World | by Tech First | Medium
Today’s most pressing data challenges center around connections, not just tabulating discrete data. The ability for graph data science…
Michael Bronstein on LinkedIn: Starting this week, I will be teaching a Master's module on graph
https://discuss.grakn.ai/t/grakn-2-0-alpha-best-practices-in-distributed-systems-and-computer-science/2307
Giuseppe Futia on Twitter
"Semantic Models for Constructing #KnowledgeGraphs"My new article for @TDataScience, inspired by the original research of @caknoblock @szeke @JoseAmbite @taheriyan @dipsykapoor @USC_ISIhttps://t.co/hOZzAAP2usOther articles on a similar topic: https://t.co/GgiAPWQBFX pic.twitter.com/zemF3xAzDA— Giuseppe Futia (@giuseppe_futia) December 16, 2020
Learning SPARQL on Twitter
Nice table of of RDF*/SPARQL* implementations under “Preliminary implementations” at https://t.co/VhNSOcM93s— Learning SPARQL (@LearningSPARQL) December 17, 2020
Learning SPARQL on Twitter
“Wikipedia Knowledge Graph for Explainable AI” conference paper https://t.co/4SXkKKgDMK— Learning SPARQL (@LearningSPARQL) December 19, 2020
Michael Bronstein on Twitter
We kicked off our #NeurIPS2020 series joined by @TacoCohen, ML Researcher at @Qualcomm @Qualcomm_Tech, to discuss his current research in equivariant networks and video compression using generative models, as well as his paper “Natural Graph Networks.”— The TWIML AI Podcast (@twimlai) December 22, 2020
WikiResearch on Twitter
"Semantic Annotation for Tabular Data", using knowledge graphs like #DBPedia and #Wikidata.(Khurana and Galhotra, 2020)https://t.co/75kUf4lRvM pic.twitter.com/MUHpeMsGO0— WikiResearch (@WikiResearch) December 23, 2020
Learning SPARQL on Twitter
The Apache Rya team is happy to announce the release of Apache Rya 4.0.1, the *first* release as an ASF top-level project. Check it out at https://t.co/N58phhH6SO#RDF #BigData #TripleStore #SPARQL @ApacheAccumulo @MongoDB @ApacheFluo @TheASF— Apache Rya (@apacherya) January 5, 2021
Adrian Gschwend on Twitter