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Aaron Bradley on Twitter
Aaron Bradley on Twitter
FYI: #semanticweb #ontologies and #linkedopendata can be hosted on #github pages with proper #mime types - just wrote a small test-case. See here for code: https://t.co/7iSh8g4atw - inspiration from @iswc_conf #slack— martin hepp (@mfhepp) November 3, 2020
·twitter.com·
Aaron Bradley on Twitter
Andreas Textor on Twitter
Andreas Textor on Twitter
RDF vs. Property Graphs! hear @joshsh and @jansaasman of @Franzinc on @TheGraphShow episode #1https://t.co/yOaqdmNqWR#Ontology #GraphDatabases #Semantic #RDF #KnowledgeGraphs pic.twitter.com/NDBKxmrvJR— TheGraphShow (@TheGraphShow) November 2, 2020
·twitter.com·
Andreas Textor on Twitter
Nelson Piedra on Twitter
Nelson Piedra on Twitter
My new article for @TDataScience - Knowledge Graphs at a glance: incorporate human knowledge into intelligent systems, exploiting a semantic graph perspective https://t.co/t57sMJ0Maq #knowledgegraphs #semantics #semanticweb #ontologies #rdf pic.twitter.com/YXD5BpESMj— Giuseppe Futia (@giuseppe_futia) September 28, 2020
·twitter.com·
Nelson Piedra on Twitter
Aaron Bradley on Twitter
Aaron Bradley on Twitter
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs https://t.co/2qUreVrazx pic.twitter.com/5K1rMPulth— Aaron Bradley (@aaranged) October 14, 2020
·twitter.com·
Aaron Bradley on Twitter
Heiko Paulheim on Twitter
Heiko Paulheim on Twitter
Guess which one might be the geometric space of choice for geometric representation learning with graphs? Keynote by Maximilian Nickel at #cssa2020 @cikm2020 https://t.co/EL3FgSRnpw pic.twitter.com/1PmlzkKZhD— Harald Sack (@lysander07) October 20, 2020
·twitter.com·
Heiko Paulheim on Twitter
Martynas Jusevičius on Twitter
Martynas Jusevičius on Twitter
Just published by @WikimediaIL :https://t.co/JadkTTL6cJCould this be the best #SPARQL / @wikidata query tutorial ever? pic.twitter.com/yeyRum76ix— WikiCite (@Wikicite) October 21, 2020
·twitter.com·
Martynas Jusevičius on Twitter
Denise Gosnell, PhD on Twitter
Denise Gosnell, PhD on Twitter
(1/5) Thank you everyone who came to Graph-n-Code livestreams with @SonicDMG and I. 🙏This thread has all the links you need for FREE access to:📌 The code📌 The Images📌 The bookWe are cooking up more livestreams; stay tuned! pic.twitter.com/QFbvdSiAO9— Denise Gosnell, PhD (@DeniseKGosnell) September 8, 2020
·twitter.com·
Denise Gosnell, PhD on Twitter
Frank Dellaert on Twitter
Frank Dellaert on Twitter
“My post on Mount Rainier’s Laplacian (https://t.co/ONdkZJdayX) is a 101 intro to aspects of spectral graph theory. This great talk by @mmbronstein shows how this theory also forms the basis of deep learning on graph-like structures. Read at least 5 papers today because of it. https://t.co/eMsV9...
·twitter.com·
Frank Dellaert on Twitter
TopQuadrant on Twitter
TopQuadrant on Twitter
TopQuadrant CEO, Irene Polikoff, provides an overview of the two main graph models along with illustrations of their similarities and differences in graph diagrams in Part I of II in this article series from @TDAN_com https://t.co/CxOrTb3ELL#knowledgegraphs #datagovernance— TopQuadrant (@TopQuadrant) September 25, 2020
·twitter.com·
TopQuadrant on Twitter
stephen mallette on Twitter
stephen mallette on Twitter
I'll be discussing "Graph Queries with Gremlin Language Variants" at the Category Theory and Applications group meetup on October 6: https://t.co/MG1HpNEiGd Be prepared to see Gremlin in many different forms! #graphdb pic.twitter.com/OIOsfLvWze— stephen mallette (@spmallette) September 28, 2020
·twitter.com·
stephen mallette on Twitter
James Le on Twitter
James Le on Twitter
https://t.co/kSTvjW2oBv Such a thoughtful article on #knowledgegraphs! @TDataScience pic.twitter.com/BphubNoYwv— James Le (@le_james94) October 1, 2020
·twitter.com·
James Le on Twitter
"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 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
·twitter.com·
"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
20 Data Trends for 2020
20 Data Trends for 2020
#Semantic #technology, decision intelligence, knowledge #datascience will be our companions in the next years, so it's recommended to start exploring #graphdatabases, #ontologies, knowledge representation systems #knowledgegraph #AI #2020NewYear #trends
·towardsdatascience.com·
20 Data Trends for 2020
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?"
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
·twitter.com·
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?"
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
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
·twitter.com·
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
An approach for semantic integration of heterogeneous data sources
An approach for semantic integration of heterogeneous data sources
enterprise context, the problem arises of managing information sources that do not use the same technology, do not have the same data representation, or that have not been designed according to the same approach. Thus, in general, gathering information is a hard task, and one of the main reasons is that data sources are designed to support specific applications. Very often their structure are unknown to the large part of users. Moreover, the stored data is often redundant, mixed with information only needed to support enterprise processes, and incomplete with respect to the business domain. Collecting, integrating, reconciling and efficiently extracting information from heterogeneous and autonomous data sources is regarded as a major challenge. Over the years, several data integration solutions have been proposed:
·peerj.com·
An approach for semantic integration of heterogeneous data sources
Andrei Kashcha on Twitter
Andrei Kashcha on Twitter
https://t.co/7T0EOs6yG7 - Made this tiny tool to discover related subreddits.The graph is created based on jaccard similarity between two subreddits. Jaccard similarity is constructed from set of shared users.Source code https://t.co/J9r1jl1JjR pic.twitter.com/4hcg7mI4sg— Andrei Kashcha (@anvaka) January 10, 2019
·twitter.com·
Andrei Kashcha on Twitter
Announcing Neo4j for Graph Data Science
Announcing Neo4j for Graph Data Science
grade features and scale. We appreciate your candid stories and collaboration, and we’ve used this to create a better solution. As such, we’re excited to announce Neo4j for Graph Data Science™, the first data science environment built to harness the predictive power of relationships for enterprise deployments. Neo4j for Graph Data Science is an ecosystem of tools that includes: With Neo4j for Graph Data Science, data scientists are empowered to confide
·neo4j.com·
Announcing Neo4j for Graph Data Science
Bryan J. Brown on Twitter: "So can any SemWeb gurus explain to me what the difference is between SHACL and ShEx? If SHACL is an official W3C recommendation, why use ShEx? Why is effort being split on this? Not a criticism at all, but a genuine question as
Bryan J. Brown on Twitter: "So can any SemWeb gurus explain to me what the difference is between SHACL and ShEx? If SHACL is an official W3C recommendation, why use ShEx? Why is effort being split on this? Not a criticism at all, but a genuine question as
So can any SemWeb gurus explain to me what the difference is between SHACL and ShEx? If SHACL is an official W3C recommendation, why use ShEx? Why is effort being split on this? Not a criticism at all, but a genuine question as I'm new to all this and only familiar with SHACL.— Bryan J. Brown (@bryjbrown) November 26, 2018
·twitter.com·
Bryan J. Brown on Twitter: "So can any SemWeb gurus explain to me what the difference is between SHACL and ShEx? If SHACL is an official W3C recommendation, why use ShEx? Why is effort being split on this? Not a criticism at all, but a genuine question as