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

In recent years, there has been a surge of interests in interpretable graph reasoning methods. However, these models often suffer from limited performance when working on sparse and incomplete...

When used for KR, we can treat the terms 'knowledge graph' and 'ontology' as interchangeable. But ontologies also have a broader use as specifications for dynamic, ontology-driven applications, a distinction this article emphasizes.

answering service — among other things.Expanding a knowledge graph often involves integrating it with another knowledge graph. But different graphs may use different terms for the same entities, which can lead to errors and inconsistencies during integration. Hence the need for automated techniques of entity alignment, or determining which elements of different graphs refer to the same entities.In a paper accepted to the Web Conference, my colleagues and I describe a new entity alignment technique that factors in information about the graph in the vicinity of the entity name. In tests involving the in

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

Virtuoso, GraphDB, Blazegraph, Stardog, AnzoGraph and more…

First Impressions of RDFox while the Benchmark is Developed

Analysing Load and Query Times across DBPedia and Yago

Traditional #factcheck methods like #fakenews detection by experts don't match the volume of information available. This is where computational fact-checking becomes relevant. Given #KnowledgeGraph, knowledge corpus, fact (triple): is fact correct? #AI [LINK]https://dl.acm.org/doi/abs/10.1145/3371158.3371187 [LINK]https://pbs.twimg.com/media/EPVCXeIW4AAp87Y.jpg:large

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Watch Martha's video on Connected Schema Markup and Knowledge Graphs to understand why they are important, how they are built using triples, how adding schema.org properties creates triples and how you can create relationships between entities to improve your SEO success

For autonomous vehicles (AV), the ability to share information about their surroundings is crucial. With Level 4 and 5 autonomy in sight, solving the challenge of organization and efficient storing of data, coming from these connected platforms, becomes paramount. Research done up to now has been mostly focused on communication and network layers of V2X (Vehicle-to-Everything) data sharing. However, there is a gap when it comes to the data layer. Limited attention has been paid to the ontology development in the automotive domain. More specifically, the way to integrate sensor data and geos...

t…) by LinkedIn

CONSTRUCT queries, VALUES and more property paths.

Collaborative #knowledgegraphs such as @Wikidata rely on the crowd. Graph populated by non-standard, noisy, long or awkward titles, which is a challenge. #research: context-aware attentive #neuralnetwork approach for entity linking h/t @aaranged #AI #data

All knowledge panels may be contextual knowledge panels based upon the words in a query that triggers those panels to appear in search results

Introducing how we built the Knowledge Graph at Airbnb, which helped us categorize our inventories and deliver contexts to people.

#Semantic interoperability is the key enabler for #digitaltransformation. But how do we achieve it? By having content understandable & available in a machine processable form. #Ontologies will play a key role in providing infrastructure to support this

I have seen several tools for converting spreadsheets to RDF over the years. They typically try to cover so many different cases that learning how to use them has taken more effort than just writing a short perl script that uses the split() command, so that’s what I usually ended up doing. (Several years ago I did come up with another way that was more of a cute trick with Turtle syntax.)

Any JSON at all.

So that we can use tools designed around those vocabularies.

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19 tracking project data available to the public.  This data is paired with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. This dataset is updated hourly at 45 minutes past the hour.

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...

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

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