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Do you want to learn more about #knowledgegraphs and data-centric architecture? @AlanMorrison put together a list of resources #datacentric #dataarchitecture #semantics #LinkedData #GraphDatabase

What does broccoli soup contain and Edamam’s live food knowledge graph of semantically interlinked data from various sources

This week eBay announced that they are making their internal distributed knowledge graph available through the an Apache 2.0 Open Source…

For #eBay, the #application/infrastructure #knowledgegraph is a heterogeneous property graph that improves architectural visibility, operational efficiency, #developer productivity. How it was developed, benefits, use cases #data #analytics #devops #AI [LINK]https://tech.ebayinc.com/research/ebays-new-approach-to-managing-a-vast-service-architecture/[/LINK] [IMAGE]https://tech.ebayinc.com/assets/Uploads/Editor/_resampled/ResizedImageWzE2MDAsNjcwXQ/image66.png[/IMAGE]

From loticoSpeaker: Jeen Broekstra

#Knowledgegraphs are dynamic, evolve over time w addition or deletion of triples. Most existing models focus on embedding static KGs. New context-aware Dynamic Knowledge Graph Embedding (DKGE) method supports embedding learning in online fashion #research

Eighteenth-Century Poetry Archive (ECPA) is a collaborative digital collection and research project devoted to the poetry of the long eighteenth century.

So yeah. Today Gartner named Graphs on their top 10 trends for data in 2019, stating that "graph DBMSs will grow at 100 percent annually through 2022." 💪💪💪 pic.twitter.com/LsCg38eyON— Emil Eifrem (@emileifrem) February 18, 2019

This article summarizes recent #research on Emotion Recognition Using Graph #NeuralNetworks. DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation #AI #deeplearning #knowledgegraph #datascience #innovation #tech #data https://towardsdatascience.com/emotion-recognition-using-graph-convolutional-networks-9f22f04b244e?source=rss----7f60cf5620c9---4

Modelling knowledge as it *is*, not as it *should be*

based, and connectionist reasoning”

We announce the first release of the knowledge graph for public procurement, integrating tender and company data. TheyBuyForYou is a three year initiative bringing together researchers, innovators and public administrations from 5 European countries. It is supported by EU H2020. The aim of the programme is to make procurement data more easily accessible and hence facilitate better decisions in areas such as economic development, demand management, competitive markets and vendor intelligence.

Introduction

In this paper we introduce the latest version (Version 2.0) of OSCAR, the OpenCitations RDF Search Application, which has several improved features and extends the query workflow comparing with the previous version (Version 1.0) that we presented at

It’s no longer necessary to choose between RDF & LPG #knowledgegraphs. RDF* offers the best of both worlds so you don’t have to give up anything. #AI #EmergingTech #data #analytics #datascience

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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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This paper attempts to compare and combine different approaches for

Alethio brings you more than 18,000,000,000 facts about Ethereum

What is more important than data consolidation? Making sense of that data and communicating it to others. With data volumes growing and time for analysis decreasing, this doesn't seem like an easy task. Data visualisation, however, may be the most reliable way to get on with this daunting process and make it seamless. Data visualisation and more specifically graph visualisation helps you organize all your data and make it readable and insightful.

With the constant growth of Internet of Things (IoT) ecosystems, allowing them to interact transparently has become a major issue for both the research and the software development communities. In this paper we propose a novel approach that builds semantically interoperable ecosystems of IoT devices. The approach provides a SPARQL query-based mechanism to transparently discover and access IoT devices that publish heterogeneous data. The approach was evaluated in order to prove that it provides complete and correct answers without affecting the response time and that it scales linearly in la...

How can investigation into money distribution and tracking funds cross the borders of blockchains?

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

Artificial Intelligence company Expert System today announced the availability in its Cogito® AI platform of the Creative Works Ontology developed by MovieLabs, the non-profit R&D joint venture started by the major Hollywood studios. MovieLabs’s Creative Works Ontology, published late last year helps fill the need of media companies to adapt their infrastructures to an increasingly … Continue reading "Expert System supports media organizations with the MovieLabs Creative Works Ontology"

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

Recent #research proved #deeplearning can be used to learn RDFS inference rules. A deficiency: lack of derivations for inferred triples, or explainability in #AI terms. @IBMResearch @jahendler provide inferred graph, explain how triples were inferred

Incorporating knowledge graphs into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity between users and items can be discovered as paths, which provide rich and complementary information to user-item interactions. Such connectivity not only reveals the semantics of entities and relations, but also helps to comprehend a user’s interest. However, existing efforts have not fully explored this connectivity to infer user preferences, especially in terms of modeling the sequential dependencies within and ...