GraphNews

Ever had some weird dataset you wanted, like "a list of every US senator ever and their gender?" and thought "ugh, that's gonna be a pain to assemble?"Or "Wikipedia has info on X, but it's gonna be hard to get out?"Well, Have you heard of Wikidata?https://t.co/1L6pkFh43h pic.twitter.com/8KiZyKKlSX— Erin ✨💽 (@erincandescent) October 1, 2020

https://t.co/kSTvjW2oBv Such a thoughtful article on #knowledgegraphs! @TDataScience pic.twitter.com/BphubNoYwv— James Le (@le_james94) October 1, 2020

This is just super satisfying. A @GavinMGleason query to combine conflict data from @dbpedia and @SeshatDatabank I love:1. the explosion2. dragging empires around followed by their battles pic.twitter.com/4oxAT8ynAF— TerminusDB (@TerminusDB) October 1, 2020

This current issue of https://t.co/iSEn2yvLfR covers #datagovernance #dataestate #data's #gendergap #datacatalog #dataestate #knowledgegraphs #DMP ... more. New content from @RSeiner @MandySeiner @AJAlgmin Polikoff of @TopQuadrant Beechum and @HBKI71. https://t.co/EEuVW3g7SG pic.twitter.com/sIL7KvLiJp— TDAN (@TDAN_com) October 1, 2020

In case you missed it, the recording of last week's #Lotico session on JSON-LD is now available. https://t.co/Pzlyjh2S89. #jsonld cc/@neumarcx— Gregg Kellogg (@Gkellogg) October 1, 2020

We’re proud to announce that Stardog is joining the Enterprise Knowledge Graph Foundation as a founding vendor member. Read on if you want to learn who, what, and why.

While five new #AI solutions enter the Gartner Hype Cycle for AI, 2020 what trends are dominating this year’s #AI landscape? Read Gartner analyst Svetlana Sicular’s views here. #GartnerSYM #CIO #ML #Chatbot

Most of the world’s knowledge is encoded in natural language (e.g., news articles, books, emails, academic papers). It is estimated that 80 percent of business-relevant information originates in un…

Introduction to timbr and the Covid-19 SQL knowledge graph

Diving into the bowels of a global organization

An overview of how Strise tackle the Entity Linking problem.

Google introduces a personalized entity repository, similar to a user-specific knowedge graph to predict actions and suggestions for users of Google.

Interview with Giovanni Campagna, one of the Almond principal developers

Happy to announce that my @OReillyMedia book Semantic Modeling for Data is now published https://t.co/4yngwDPMrO and available in electronic and print format https://t.co/VsFc8zf2KY. Get a free sample chapter at https://t.co/DivwADNUGo #datascience #datamodeling #knowledgegraphs pic.twitter.com/9j58IF1lcZ— Panos Alexopoulos (@PAlexop) September 9, 2020

A cheat sheet for quickly analyzing and evaluating relationships in graph networks using Python, Networkx, and Gensim

Using neo4j’s power for scalable graph analytics in Python

Can We Divide It Into Supervised/Unsupervised Learning? It’s Not That Simple…

Wikidata and Wikipedia have been proven useful for reason-ing in natural language applications, like question answering or entitylinking. Yet, no existing work has studied the potential of...

In-database training avoids exporting the data from the DBMS to other machine learning platforms thus better support continuous model…

A frequent source of confusion with ontologies and more generally with any kind of information system is the Open World Assumption. This trips up novice inexperienced users, but as I will argue in …

In Deliberate Internet 27 I focus on the new wave of note-taking apps and explain why they are all sprouting now.

Don t Quarantine Your Research you keep your social distance and we provide you a social DISCOUNT use QUARANTINEDAYS Code in precise requirement and Get FLAT 1000USD OFF on all CMI reports The Knowledge Graph can be defined as the ...