GraphNews

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...

This post will showcase the use of cosine similarity algorithm in Neo4J and also provide examples in addition to the available…

Luis Bosquez, Program Manager for Azure Cosmos DB shares an overview of the Graph/Gremlin API, and best practices app developers can use when building apps using the graph data model and Apache Tinkerpop Gremlin language. http://www.azurecosmosdb.com Graph/Gremlin API - Documentation: https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction About Azure Cosmos DB: Azure Cosmos DB is a fully-managed NoSQL database service offering unlimited and elastic scalability of throughput and storage, and guaranteed speed and performance anywhere in the world.

We're currently building a Data Governance Platform product that enables UK Financial Services organisations to discover and manage the life-cycle, usage, risk and compliance requirements of data asse

The unprecedented in-depth analysis enabled by graph analytics can produce risk warnings faster and better than was possible ten years ago.

Most #machinelearning #algorithms work well w/ either text or structured #data. #Semantic data models can close the gap. Relationships between business/data objects can be made available for further analysis #knowledgegraph #AI #datascience #EmergingTech

life connections will make the technology particularly useful for investment management in 2020 and the years to com

To embrace the future of work, companies need technology that mimics how their organizations are structured and how their workers relate to one another. Today's work relationships, for example, are complex and fluid. Using highly structured relational databases, which organize data hierarchically in rows and columns to represent these relationships, no longer makes sense. Instead, we need adaptable technology that models data based on contextual relationships. Enter graph databases, a revolutionary technology that Gartner predicts will grow 100% per year over the next couple of years. Early Applications Of Graph Databases Graph databases may now be leveraged by giants like Google and Amazon, but they weren't always popular. In fact, their popularity grew with the rise of social media. Consider the complex relationships between people, places and things stored in social networks like Facebook or LinkedIn. Organizing these relationships based on hierarchies is problematic, as it

To find the right nail for your AI or blockchain hammer, think distributed.

Network Medicine offers a series of powerful tools to identify new drugs and diagnostics. In this exceptional moment of need, we decided...

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19. This editor can help you provide them with that information. Note that most cases for using this markup is restricted to official government sites and there are strict guidelines for the accuracy of the information. Please read this Bing Post with details on what you are allowed to do, and need to do. Bing may punish sites that break the guidelines. If you do successfully provide information to Bing or Google, I'd love to hear about it. Email me or start a conversation on Twitter or the Facebook group (see to left). Same goes for any issues you have. Let's make sure this works. Also contact me if you have issues understanding the specifications and documentation. Bing, Google and schema.org are also very keen to get this working. To get started, use the following editor to enter your Special Announcem

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We are a diverse team of scientists, developers and data people from academia and industry.

One of the "defects" of RDF for data management is that it does not support business rules. That's a generality, so let me explain a bit. ...

Building a knowledge graph the semantic data modeling way in 10 steps with the help of Ontotext's knowledge graph technology experts.

Connect with us and learn about the latest news and solutions around high performance computing, supercomputing, AI, big data and more.

Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.

Creating Graphs in Python using Networkx #dataviz #tutorial #datascience #data #tech

Wan Kenobi, Alec Guinness are nodes and

How might we model graphs beyond the most common use cases, and take a more creative approach to graph modeling?

GQL standard project up for final vote in ISO/IEC ballot Plans to create a standard property graph query language GQL took a critical step forward, this past Friday June 14th. A year ago over 3,000 people took the opportunity to say “Yes to GQL” by voting in an open web poll for The GQL Manifesto,

Summary of crowdsourcing studies to assess the quality of knowledge graphs and complete missing values. Results focus on findings over the DBpedia knowledge gr…

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Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a way to integrate information extracted from multiple data sources. Knowledge graphs have also started to play a central role in machine learning and natural language processing as a method to incorporate world knowledge, as a target knowledge representation for extracted knowledge, and for explaining what is being learned. This class is a graduate level research seminar featuring prominent researchers and industry practitioners working on different aspects of knowledge graphs. It will showcase how latest research in AI, database systems and HCI is coming together in integrated intelligent systems centered around knowledge graphs.The seminar will be offered over Zoom as per the planned schedule.The seminar is open to public. Remote participants may join the seminar through Zoom. To be

In this post I explain common issues with query performance in Neo4j and how you may solve them using the Query Log Analyser tool.

.@cytoscape is an #opensource #software platform for complex networks #dataviz. #Neo4j Graphs are often too large for Cytoscape; this plugin allows you to write Cypher queries, import result as a network. Queries can be parameterized & stored for reuse

The German automotive giant is using Neo4j to help its HR team better understand its constantly changing corporate structure and reporting lines at a time when employees increasingly work in ‘swarms’