In this paper, an overview of the state of the art on knowledge graph

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.

sized – offer products and services to help in the fight.

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A refresher on the Google Knowledge Graph and how you can find facts about people, places and things in knowledge panels on Search.

Want to build from these basics. an introduction:

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…

Bob Kasenchak and Ahren Lehnert, Synaptica

RDF* is an extension to RDF that provides

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From loticoSpeaker: Jeen Broekstra

world applications. The OGB data loaders are fully compatible with popular graph deep learning frameworks, including Pytorch Geometric and DGL. They provide automatic dataset downloading, standardized dataset splits, and unified performance evaluation.

👋 Hello, I hope you are all doing well during the lockdown.

powered applications with minimum friction.Broad compatibility with existing and future software developm

IntroductionCommercializing Artificial Intelligence platforms, products and tools is much more challenging than traditional software. This is because1. It represents a revolution in computing2. Its new to IT staff, conceptually and in practice3. It requires adoption of a substantially different way of thinking about computing4. It requires a different way of thinking about business.Human IntelligenceIn the U.S., every year, about 2.6 million people have some type of brain injury, caused by trauma, stroke, tumor, or other illnesses. The greatest factor in functional recovery after brain injury comes from the brain’s ability to learn, called neuroplasticity. After injury, neuroplasticity allows intact areas of the brain to adapt and attempt to compensate for damaged parts of the brain. Developing brains are more able to regenerate than adult brains.It’s possible that one day we will discover ways in which to restore cognitive function to higher levels than we can today, maybe t

making process will be essential to accomplish precision medicine goals. However, quantity and diversity of biomedical data, and the spread of clinically relevant knowledge across myriad biomedical databases and publications makes this exceptionally difficult. To address this, we developed the Clinical Knowledge Graph (CKG), an open source platform currently comprised of more than 16 million nodes and 220 million relationships to represent relevant experimental data, public databases and the literature. The CKG also incorporates the latest statistical and machine learning algorithms, drastically accelerating analysis and interpretation of typical proteomics workflows. We use several biomarker studies to i

Bob Kasenchak and Ahren Lehnert, Synaptica

Last week, I virtually attended the Knowledge Graph Conference 2020. Originally, KGC was planned to be hosted in New York at Columbia University but, as with everything, had to go online because of the pandemic.

19, it was virtual, stream

RDFox is a high performance knowledge graph and semantic reasoning engine developed by Oxford Semantic Technologies. This short article will help you understand the key concepts behind RDFox and when to use them in your applications.Knowledge GraphsA knowledge graph is composed of a graph database to store the data and a reasoning layer to interpret and manipulate the data.Relational databases store data in structured records whereas graph databases store data points as nodes which are connected with edges if they share some form of relationship.Data stored in a graph can be accessed with a query which will “hop” along the edges to find the requested nodes.ReasoningReasoning is the process of materialising rules which apply to the data. Materialising a rule means adding new nodes or edges to the graph when it is satisfied. These new nodes and edges match the rule’s “pattern”.A rule can be as simple as an “If… then…” statement.For example: “If a city is located

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the task should accurately quantify the “distribution shift” in the data. Having precise control of this shift could allow us to understand the drawbacks of our learning methods, and build systems which can generalize over multiple tasks but still remember the old ones. Data distribution

market,” said Kendall Clark, CEO and Founder of Stardog. “We plan to expand our successful EU operations, strengthen our work in the public sector, and to develop tools and partnerships to broaden access to knowledge graphs.” Stardog’s Enterprise Knowledge Graph platform is used by industry leaders including Morgan Stanley, NASA, Schneider Electric and Bayer. Customers use Stardog for a range of solutions including operational resilienc

16” (16 vCPUs, 104 GB memory) virtual machine on the Google Cloud Platform with 3 local SSDs held together with RAID 0. This should provide us with enough fast storage to store the raw TTL data, munged TTL files

Hi graph gang, In this week’s video, Jans, Niels, and Morgan show how to build a social knowledge graph based on data from collaboration tools that we use at Neo4j. Rik Van Bruggen queries the COVID-19 Contact Tracing Graph, Tomaz… Read more →

Bob Kasenchak and Ahren Lehnert, Synaptica

Ontotext releases GraphDB 9.2 featuring the anticipated support for RDF*/SPARQL* and improvements in the plug-ins for semantic similarity and versioning.

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

Ontotext Platform 3.1 features GraphQL Mutation and Federation, Schema Generation, Access Control and API Gateway for easy development of knowledge graphs