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Council Post: Symbolism Versus Connectionism In AI: Is There A Third Way?
The debate between two divergent schools of thought in the underlying architecture of AI systems is starting to ask a new question: Why not both?
GraphNews
Aaron Bradley on Twitter
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings - Andreea Iana, @heikopaulheim https://t.co/ZlN50kgXrk— Aaron Bradley (@aaranged) September 2, 2020
WikiResearch on Twitter
Our #Yahoo! Knowledge Graph version of #Wikipedia entity embedding is now publicly available. This will be the version we use to trigger the related entity search for knowledge panels in Yahoo! Search, try it if you need general entity embedding in any task. @wikiworkshop https://t.co/eB9H6ai2zI— Chien-Chun Ni (@saibalmars) September 2, 2020
WikiResearch on Twitter
"VisualSem: a high-quality knowledge graph for vision & language", based on #Babelnet and #Wikipedia(Alberts et al, 2020)https://t.co/mWNh7QxXpZ@claravania#NLProc #ComputerVision pic.twitter.com/s8bGn6MAdV— WikiResearch (@WikiResearch) September 3, 2020
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Knowledge Graphs @ ICLR 2020
👋 Hello, I hope you are all doing well during the lockdown.
Science Forum: Wikidata as a knowledge graph for the life sciences
based diagnosis of disease, and drug repurposing. Integrating data and knowledge is a formidable challenge in biomedical research. Although new scientific findings are being discovered at a rapid pace, a large proportion of that knowledge is either locked in data silos (where integration is hindered by differing nomenclature, data models, and lice
Visualize query results using the Amazon Neptune workbench
In this post, we look at the new visualization features recently added to the Amazon Neptune workbench and released on August 12, 2020. These additional capabilities allow you to produce an interactive graph diagram representing the results of your Gremlin and SPARQL queries. We look at some Gremlin-specific features and then do the same for SPARQL. Finally, we look at some of the more advanced ways you can modify the visualizations. As a sidenote, this entire post was produced using the workbench.
Entity-Oriented Search | SpringerLink
This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent an
Inoreader - Take back control of your news feed
One place to keep up with all your information sources. With Inoreader, content comes to you, the minute it's available. Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.
Xmllondon 2016 proceedings
Linked Data Templates
An Analysis of Online Datasets Using Dataset Search (Published, in Part, as a Dataset)
Posted by Natasha Noy, Research Scientist; and Omar Benjelloun, Software Engineer, Google Research There are tens of millions of datasets...
Kohei Kurihara -DataPrivacy for Fighting Covid-19- on Twitter
Check it. Explainable AI: From the peak of inflated expectations to the pitfalls of interpreting machine learning models https://t.co/AmS9dZz1Iv via @ZDNet & @linked_do #tech #digital #data #business pic.twitter.com/Lvxx7MTcsO— Kohei Kurihara -DataPrivacy for Fighting Covid-19- (@kuriharan) August 24, 2020
"... the first version of Meena reportedly has 2.6 billion parameters and is trained on 341 GB of text, filtered from public domain social media conversations." @jrdothoughts bit.ly/2UXJHYF
"... the first version of Meena reportedly has 2.6 billion parameters and is trained on 341 GB of text, filtered from public domain social media conversations." @jrdothoughts bit.ly/2UXJHYF
Aaron Bradley on Twitter
The Hype Around #KnowledgeGraphs @DavidClarkeBlog @Synaptica, including paraphrases of notable knowledge graph definitions #connecteddata h/t @aaranged https://t.co/qdf89loxvW?amp=1
"By augmenting the underlying graph technology with native support for JSON and JSON-LD, organizations can suddenly access a range of possibilities for AI data modeling, querying and developing applications previously impossible." Jans Aasman @Franzinc bi
"By augmenting the underlying graph technology with native support for JSON and JSON-LD, organizations can suddenly access a range of possibilities for AI data modeling, querying and developing applications previously impossible." Jans Aasman @Franzinc https://t.co/fSwUZd6fkR— Aaron Bradley (@aaranged) June 28, 2019
"Contact Tracing" for COVID-19: methods, efficacy and future
risk people are those who have been within two meters for 15 minutes or more, with a known infected person in
"Gremlin++ & BitGraph: Implement the Gremlin Traversal Language and A GPU-Accelerated Graph Computing Framework in C++" drum.lib.umd.edu/handle/1903/21… see Gremlin++ code here: github.com/bgamer50/Greml… #graphdb https://t.co/LmSsABE7SW
Accelerated Graph Computing Framework in C++" drum.lib.umd.edu/handle/1903/21… see Gremlin++ code here: github.com/bgamer50/Greml… #graphdb https://t.co/LmSsABE7SW
"In very simple terms, if you want your article, product, corporate identity, or anything else, really, to be relevant in this new world, you also need to be in the Knowledge Graphs." Richard Wallis (@rjw) on his involvement with Google and #schema.org bi
"In very simple terms, if you want your article, product, corporate identity, or anything else, really, to be relevant in this new world, you also need to be in the Knowledge Graphs." Richard Wallis (@rjw) on his involvement with Google and #schema.org https://t.co/6ldtlcLpHF— Aaron Bradley (@aaranged) July 8, 2019
"name": "Sherman McCoy", "jobTitle": "Master of the Universe" Quoted tweet from @glenngabe: That's interesting -> Google Search to introduce public profile cards for all, a replacement for G+ profiles "The new Google Search profile cards appear to be diff
"name": "Sherman McCoy",
"The Linked Irish Traditional Music Ontology, an extension of FRBRoo, is designed to represent contemporary and historical Irish traditional music practice, documentation, and performance. It was developed in 2019 for use at the Irish Traditional Music Ar
"The Linked Irish Traditional Music Ontology, an extension of FRBRoo, is designed to represent contemporary and historical Irish traditional music practice, documentation, and performance. It was developed in 2019 for use at the Irish Traditional Music Archive, Dublin." https://t.co/gepumprBtS— Aaron Bradley (@aaranged) June 26, 2019
"This article presents our ontology – that is, how we express mathematical ideas and relationships in the Cambridge Mathematics Framework – with examples from the CM Framework itself." twitter.com/CambridgeMaths… Quoted tweet from @CambridgeMaths: Our Ont
"This article presents our ontology – that is, how we express mathematical ideas and relationships in the Cambridge Mathematics Framework – with examples from the CM Framework itself." twitter.com/CambridgeMaths…
"What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web."
"What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web."(Haller et al, 2019)https://t.co/wE8nEH0ugn pic.twitter.com/2q22ow6jB4— WikiResearch (@WikiResearch) October 10, 2019
"What is Trending on Wikipedia? Capturing Trends and Language Biases Across #Wikipedia Editions" people share interest for entertainment, and differences appear in topics related to local events or about cultural particularities. (Miz et al, 2020) arxiv.o
"What is Trending on Wikipedia? Capturing Trends and Language Biases Across #Wikipedia Editions" people share interest for entertainment, and differences appear in topics related to local events or about cultural particularities.
"Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia" Python-based open tool for learning word and entity embeddings from #Wikipedia, now with a web demo. demo: https://t.co/Gv5EBXWbuX pap
Wikipedia2Vec: #Python #opensource tool for learning word & entity embeddings from #Wikipedia. Demo: https://t.co/Gv5EBXWbuX #Research paper: https://t.co/GGbQjQolJe #datascience #AI #NLP h/t @aaranged
#GraphCast: How a Social Knowledge Graph Improves Remote Collaboration
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.
#GraphCast: How to Solve a Crime with Graph Theory
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.
#KnowledgeGraphs and Knowledge Networks: The Story in Brief published in #IEEE Internet Computing #research #datascience #analytics #AI @amit_p h/t @WikiResearch @cyberandy
#KnowledgeGraphs and Knowledge Networks: The Story in Brief published in #IEEE Internet Computing #research #datascience #analytics #AI @amit_p h/t @WikiResearch @cyberandy
(1) Why do these Knowledge Graphs need 10,000 pairs of hands? | LinkedIn
In 2000 we at Taalee/Semagix had built a commercial semantic search engine that was driven by Knowledge Graph (KG) (or ontology, our trademarked name then was WorldModel): find details at [1]. We had built KG for ~25 categories/domain and subcategories/subdomains, but because of a unique strategy fo