Overview

We’re proud to announce that we have now released the first public release of OpenCorporates’ new corporate events system. This has been a really substantial project that’s been more complex and more difficult than we expected, and threw up many issues and questions along the way. But what we have now is a big step forward for OpenCorporates, and, we believe, ultimately the world’s understanding of companies. First, the headlines: We’ve generated over 420 million corporate events for 170m companies. Around 50 thousand new events added each day on average. Currently features key lifecycle ev...

Read latest news about Reltio Connected Customer 360. Connected customer data at the heart of customer experience.

Much (if not all) of the discussion about temporal issues in the last 30+ years have been based on the assumption of the necessity of SQL tables. The narrative for how to build “well-formed” SQL data models is the well-known “Normalization” procedure. Data modelers with my hair color will remember the poster, which was a give-away with the Database Programming and Design Magazine (Miller Freeman) in 1989. The title of the poster is “5 Rules of Data Normalization”. Here is a miniature image of it

How AI is evolving towards custom graph hardware

3 ways that #DataVisualization will advance and impact users (including Knowledge Graphs): https://t.co/3XELwiVDDJ——————#BigData #DataScience #DataViz #VisualAnalytics #AnalyticsStrategy #DataStorytelling #KnowledgeGraphs #abdsc pic.twitter.com/N43Wx3APs2— Kirk Borne (@KirkDBorne) August 9, 2019

In this blog Ahren Lehnert looks at the source of the source. Information systems as ecosystems in which technology, people, and processes interact.

A short article on reading-comprehension and knowledge-based dialogue systems with an overview of the SCAI workshop @ IJCAI 2019

Graph machine learning (graphML) is a subset of deep learning with much higher accuracy because big data records are linked together by their relationships.

How Google may build and improve upon the Google knowledge Graph using knowledge graph reconciliation to remove ambiguity and add new entities

This series of posts describes the process of converting data held in tradition relational databases into a semantic format using a relatively simple example of summarising commercial fisheries sam…

Graphileon joins CovidGraph, an initiative of graph enthusiasts and companies with the goal to build a knowledge graph with relevant information about the COVID-19 virus.

BOSTON (PRWEB) August 22, 2019 Cambridge Semantics, the leading provider of modern data management and analytics software, today announced significant updates to its award-winning Anzo® data disc

Because Graph Analytics is the future

We are super excited to share the latest upgrades to ArangoDB which are now available with ArangoDB 3.5. With the fast-growing team, we could build many new and long-awaited features in the open-source edition and Enterprise Edition. Get ArangoDB 3.5 on our download page and see all changes in the Changelog. Need to know more […]

introduction to Knowledge Graph embedding and quick tutorial on Constructing KG via OpenKE package

For more complex products such as new pharmaceutical drugs, medical equipment or healthcare treatments, identifying hubs of influencers among physicians and other healthcare providers requires deep analysis of patient claims data to uncover the referral relationships.

Call records analysis with graph visualization.

How can companies step themselves into the world of graph databases? Neo4j thinks it has an answer. It has been offering a Startup Program for startups with 19 employees or fewer; more than 650 startups with fewer than 20 employees took advantage of having free access to Neo4j Enterprise clusters.

Heritage institutions are places in which works of art, historical records, and other objects of cultural or scientific interest are sheltered and made accessible to the public. The equivalent of that in the digital world, is already taking shape, through digitization and sharing of digital-born or

CSV2RDF 2.0 released! https://t.co/mVvzk2LEXdCSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -now with named arguments (shout-out to @picocli) and a Docker image: https://t.co/Ac1CBFLhgM https://t.co/zyN9DW0qqT— Learning SPARQL (@LearningSPARQL) July 11, 2019

Slides of the LD tutorial at DH2019

Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019.

A knowledge graph connects all data without moving or copying it. A knowledge graph seamlessly layers atop the existing data infrastructure, and reveals the relationships within the data, regardless of its source or format. These graphs are highly scalable, and retain each analysis, which acts as a reusable asset.

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From June 2 – 6, I had the pleasure of attending the Extended Semantic Web Conference 2019 held in Portorož, Solvenia. After ESWC, I had another semantic web visit with Axel Polleres, Sabrina…

We are very happy to announce the 0.6 release of the SANSA (Semantic ANalytics StAck) framework - for large-scale analysis, inference, and querying of knowledge graphs! https://t.co/zAFgEaslgU #AI #machinelearning #semanticweb #apachespark #apacheflink #knowledgegraphs— SANSA (@SANSA_Stack) July 2, 2019

Slides for my summer school talk on ML and Embeddings for Knowledge Graphs

How to generate RDF from very large and heterogeneous data sources. Presentation on the Semantiv Big Data workshop @ SIGMOD/PODS 2019 conference.