There are only a handful of publicly available knowledge graphs. And among those, only a few provide data with enough breadth to in some way represent the entire internet, and with enough granulari…

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#KnowledgeGraphs and their central role in #bigdata processing: Past, Present, and Future #keynote #presentation #research #AI #datascience #data @amit_p

19, trying to make sense of the data surrounding the virus is a Herculean task. Vast in volume and ceaselessly produced, this data emanates from domains as different as virology and economics and is produced by a multitude of people and organizations. Unsurprisingly the standards to which this data conforms are as multitudinous as its sources. It just so happens that making sense of messy data from disparate sources is one of the things at which knowledge graphs excel. Moreover, knowledge graphs make it possible to derive new knowledge from intelligently connecting information residing in those disparate data repositories. Given that the ability to better analyze data and gain new insights is of obvious use to people trying to respond to the pandemic, those working with knowledge graph technologies have started to talk about how those technologies – and their skills – might

It was hard to top last year’s demonstration of the new Microsoft 365 experienced powered by the Microsoft Graph. The focus this year shifted to how the graph could break down application and device silos to make everyday applications more user-centric.

Neo4j's Educator Program offers Graph Data Modeling course slides, tutorials, and community support.

Discover what's new in the 3.5 release of the Neo4j graph database, including a Go language driver, full-text search and indexing, TLS encryption and more.

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based Gruff Drives Infinite Data Integration, Holistic Insights and Complex Reasoning

Graphs are common #data structures to represent #connecteddata. To use graphs with #deeplearning, we use graph embeddings, a low dimension representations which helps generalize input data. Node2Vec aims to preserve network neighborhoods #datascience #AI

https://douroucouli.wordpress.com/2019/05/10/obographviz-0-2-2-released-now-with-visualization-of-equivalence-cliques/

Keynote talk given at the 41st European Conference on Information Retrieval (ECIR 2019)

Technology research and analyst house Bloor Research places Ontotext as champion among RDF graph providers in its latest update on the graph database market

Ontotext releases GraphDB 8.10, which makes the knowledge graph experience quicker, easier and more productive.

Ontotext releases GraphDB 8.8.0 - the latest version of its signature semantic graph database - with new features and updates.

GraphDB has generated a thriving community over the years and they share their insights and experience in many blog posts and tutorials.

.@lyfteng announces #opensource Amundsen #data discovery & #metadata engine. Metadata service provides metadata about data resources, displayed in the front-end, utilized by other services. By default, the persistent layer is powered by #Neo4j #graphDB

Norconex crawlers can now be used to harvest relationships from websites and filesystems and feed them to Neo4j.

Querying @DBPedia #LinkedData From Jupyter Notebooks – Music Genres Related to Heavy Metal and Music Venues in England. #data #tech #dataviz #knowledgegraph #datascience @psychemedia h/t @aaranged

A thorough introduction to knowledge graphs

Representing Graph #Data Structures: Edge Lists, Adjacency Matrices, Adjacency Lists #datascience #analytics #tutorial #datamodel #softwareengineering #data #tech

How we used the Gremlin Graph API to manage role-based access control to resources in a knowledge base application.

Learn advanced Cypher queries for one approach to analyzing data inconsistencies directly in your flexible and forgiving Neo4j graph database.

Trace the safety information throughout the entire drug development lifecycle in a single intelligent system with Ontotext's solution.

Ontotext’s smart semantic search solution helps Pharma companies to seamlessly navigate data and information coming from various siloed data-sources.

As interest grows in new technologies, many enterprises are reconsidering their data warehouses. What makes graph databases different from traditional RDBMSs?

This article has two sections. The first describes the longstanding difficulties in integrating data for analytics and more recently, data science and AI.