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Facebook Search Results Now Include Wikipedia Knowledge Panels
Facebook Search Results Now Include Wikipedia Knowledge Panels
Facebook appears to be testing the addition of Wikipedia knowledge panels in search results, according to reports from multiple users.Based on the screenshots shared on Twitter, this feature is reminiscent of Google’s integration with Wikipedia.Here’s an example that was spotted a few days ago:New? Facebook shows Wikipedia snippits in search resultsh/t @jc_zijl pic.twitter.com/zcbQJmauhE— Matt Navarra | 🚨 #StayAtHome (@MattNavarra) June 9, 2020Just like in Google’s search results, the Wikipedia knowledge box in Facebook search shows key details about the entity being searched for.You’ll also notice there’s a lone Instagram link, which is a stark contrast to Google’s search results containing links to all popular social media profiles.Unlike Google’s knowledge panels, which link to a number of domains where people can learn more about a entity, Facebook is trying to keep people within the Facebook ecosystem as much as possible.Here’s another example that looks
·searchenginejournal.com·
Facebook Search Results Now Include Wikipedia Knowledge Panels
Facebook's alliance with Jio will help it unlock India
Facebook's alliance with Jio will help it unlock India
Facebook’s recent $5.7 billion investment in Indian telecommunications behemoth Jio Platforms goes beyond the typical tech deal and will help the American social media titan finally unlock the world's biggest democracy.
·thedrum.com·
Facebook's alliance with Jio will help it unlock India
FactsMission AG on Twitter
FactsMission AG on Twitter
We just released PSPS: an open source tool allowing Linked Data sites based on GitHub repositories. Like GitHub pages but self-hosted and with SPARQL and RDF. Check it out: https://t.co/tBu6xvA2Qa - As you might have guessed: that's the software powering https://t.co/olmahLZFvb— FactsMission AG (@FactsMission) January 10, 2019
·twitter.com·
FactsMission AG on Twitter
Family Tree with RedisGraph | Gigi Labs
Family Tree with RedisGraph | Gigi Labs
Using Redis #NoSQL #graph capabilities to build and query a family tree. #softwaredevelopment #tutorial #graphdatabase #data #datamodel #apps #code [LINK]http://gigi.nullneuron.net/gigilabs/family-tree-with-redisgraph/[/LINK] [IMAGE]http://gigi.nullneuron.net/gigilabs/wp-content/uploads/2019/11/redisgraph-family-tree-example-1024x494.png[/IMAGE]
·gigi.nullneuron.net·
Family Tree with RedisGraph | Gigi Labs
Feedback requested on proposal for Spark Cypher in Spark 3.0 - General / Announcements - Neo4j Online Community
Feedback requested on proposal for Spark Cypher in Spark 3.0 - General / Announcements - Neo4j Online Community
Xiangrui Meng of Databricks recently posted this on the Apache Spark project users list: http://apache-spark-user-list.1001560.n3.nabble.com/SPIP-DataFrame-based-Property-Graphs-Cypher-Queries-and-Algorithms-td34358.html Databricks and Neo4j contributors are looking to bring Cypher queries into the core Spark project as part of Spark 3.0 (slated for release mid-year 2019). This will build on elements from the Cypher for Apache Spark and Graphframes projects. All the details are in the links i...
·community.neo4j.com·
Feedback requested on proposal for Spark Cypher in Spark 3.0 - General / Announcements - Neo4j Online Community
Feeling SHACL'd to your desk at home these days? Then try out SHACL Play!, a "free online SHACL validator for RDF data" from Thomas Francart bit.ly/2QfpbQ5
Feeling SHACL'd to your desk at home these days? Then try out SHACL Play!, a "free online SHACL validator for RDF data" from Thomas Francart bit.ly/2QfpbQ5
Feeling SHACL'd to your desk at home these days? Then try out SHACL Play!, a "free online SHACL validator for RDF data" from Thomas Francart bit.ly/2QfpbQ5
·twitter.com·
Feeling SHACL'd to your desk at home these days? Then try out SHACL Play!, a "free online SHACL validator for RDF data" from Thomas Francart bit.ly/2QfpbQ5
Finally, a Knowledge Graph Management System
Finally, a Knowledge Graph Management System
user experience was also far from great and administrative features like access control were totally missing. At the same time, the mainstream web application architecture was relying on techn
·atomgraph.com·
Finally, a Knowledge Graph Management System
Financial Times Turns to Graph Technology to Connect Its Vast Array of Data | Data | Computerworld UK
Financial Times Turns to Graph Technology to Connect Its Vast Array of Data | Data | Computerworld UK
Computerworld covers a range of technology topics, with a focus on these core areas of IT: Windows, Mobile, Apple/enterprise, Office and productivity suites, collaboration, web browsers and blockchain, as well as relevant information about companies such as Microsoft, Apple and Google.
·computerworlduk.com·
Financial Times Turns to Graph Technology to Connect Its Vast Array of Data | Data | Computerworld UK
Finding patterns with rules
Finding patterns with rules
triple store which we will query with SPARQL. If you are not yet familiar with knowledge graphs and reasoning, you can read an introduction published on
·towardsdatascience.com·
Finding patterns with rules
Finding the shortest path from Country A to Country B — using Neo4J and Node
Finding the shortest path from Country A to Country B — using Neo4J and Node
Finding the shortest path from Country A to Country B using Graph #analytics #algorithms #javascript #tutorial #softwareengineering #datascience #GraphDB #opensource #Neo4J #data #tech [LINK]https://technology.amis.nl/2019/01/01/finding-the-shortest-path-from-country-a-to-country-b-using-neo4j-and-node/ [LINK]https://miro.medium.com/max/1370/0*Ol4T6m9f4Y2W7T9W.png
·technology.amis.nl·
Finding the shortest path from Country A to Country B — using Neo4J and Node
Focus: KGs for Food
Focus: KGs for Food
Dan Barber, the James Beard award-winning chef who pioneered the farm-to-table movement, has a single, elegant term for the complexity of molecules, processes, and sequences that underpins great food: flavor. Like great chefs, computer scientists grapple with complexity, seeking elegant ways to model and analyze increasingly complex–or perhaps, flavorful–phenomena. Across many business verticals, we are […]
·knowledgegraph.tech·
Focus: KGs for Food
Football meets graphs
Football meets graphs
FOOTBALL MEETS GRAPHS Bea Hernández
·docs.google.com·
Football meets graphs
For those of you who missed it - here is the recording of my webinar at @Dataversity on #graph #datamodeling - summary of my #online #training at #Dataversity: lnkd.in/dK6ex9F
For those of you who missed it - here is the recording of my webinar at @Dataversity on #graph #datamodeling - summary of my #online #training at #Dataversity: lnkd.in/dK6ex9F
For those of you who missed it - here is the recording of my webinar at @Dataversity on #graph #datamodeling - summary of my #online #training at #Dataversity: https://t.co/3p71i3kGYP— Thomas Frisendal (@VizDataModeler) January 11, 2020
·twitter.com·
For those of you who missed it - here is the recording of my webinar at @Dataversity on #graph #datamodeling - summary of my #online #training at #Dataversity: lnkd.in/dK6ex9F
Formula for Success
Formula for Success
László Barabási never bothered to learn English. “My worst grades were always in English because I thought, Why study it? You can never leave this country,” explains Barabási, director of the Center for Complex Network Research (CCNR) at Northeastern University in Boston. “It wasn’t until I got to the University of Bucharest and became interested in research that I understood the importance of being able to read academic papers in English.” Barabási emigrated from Romania to Budapest with his father in the summer of 1989, a few months before Ceaușescu was overthrown, and completed a master’s degree in physics at Eötvös Loránd University two years later. But it wasn’t until after he’d earned a Ph.D. in physics at Boston University in 1994, while working as a postdoc at IBM’s legendary Thomas J. Watson Research Center, that Barabási became inter
·weareworldquant.com·
Formula for Success
Francis Opoku on Twitter: "Short comparision of #SPARQL and #GraphQL by @RubenVerborgh. One SPARQL Query can go against multiple SPARQL endpoints in a natural way - that is not equal to schema stitching in GraphQL because there is no need for schema assum
Francis Opoku on Twitter: "Short comparision of #SPARQL and #GraphQL by @RubenVerborgh. One SPARQL Query can go against multiple SPARQL endpoints in a natural way - that is not equal to schema stitching in GraphQL because there is no need for schema assum
Short comparision of #SPARQL and #GraphQL by @RubenVerborgh. One SPARQL Query can go against multiple SPARQL endpoints in a natural way - that is not equal to schema stitching in GraphQL because there is no need for schema assumptions of different #API's: https://t.co/RWYuvBSIqX— Francis Opoku (@fraopo) December 23, 2018
·twitter.com·
Francis Opoku on Twitter: "Short comparision of #SPARQL and #GraphQL by @RubenVerborgh. One SPARQL Query can go against multiple SPARQL endpoints in a natural way - that is not equal to schema stitching in GraphQL because there is no need for schema assum
Frank van Harmelen on Twitter
Frank van Harmelen on Twitter
A big new #LOAD resource: https://t.co/J44j8EKsGo All 500M+ owl:sameAs statements in the #LOD cloud, their closure into 50M equivalence classes, and an estimated error degree for all of these. All for download at https://t.co/sKeetxXzgY— Frank van Harmelen (@FrankVanHarmele) April 28, 2019
·twitter.com·
Frank van Harmelen on Twitter