Graph databases | Triplestores

Ontotext GraphDB

Ontotext GraphDB (previously known as BigOWLIM) is a graph database and knowledge discovery tool compliant with RDF and SPARQL and available as a high-availability cluster. Ontotext GraphDB is used in various European research projects. As of April 2021, Graph DB is ranked as the 4th most -popular RDF store and 6th most-popular Graph DBMS system. Some categorize it as a NoSQL database. In 2014 Ontotext acquired the trademark "GraphDB" from Sones. As for a typical graph DB, ontologies are an important input for the databases. The underlying idea is a semantic repository. (Wikipedia).

Ontotext GraphDB
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LinkedIn

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist LinkedIn

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Subgraphs

A subgraph consist of nodes and edges of a larger graph. In this tutorial I show you what a subgraph is and present an elegant representation in Mathematica. You can learn more about Mathematica on my Udemy course at https://www.udemy.com/mathematica/ PS! Wait until Udemy has a sale an

From playlist Introducing graph theory

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What are Connected Graphs? | Graph Theory

What is a connected graph in graph theory? That is the subject of today's math lesson! A connected graph is a graph in which every pair of vertices is connected, which means there exists a path in the graph with those vertices as endpoints. We can think of it this way: if, by traveling acr

From playlist Graph Theory

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Graph Neural Networks, Session 2: Graph Definition

Types of Graphs Common data structures for storing graphs

From playlist Graph Neural Networks (Hands-on)

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Graph Neural Networks, Session 1: Introduction to Graphs

Examples of Graph representation of data Motivation for doing machine learning on Graphs

From playlist Graph Neural Networks (Hands-on)

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Graph Theory FAQs: 01. More General Graph Definition

In video 02: Definition of a Graph, we defined a (simple) graph as a set of vertices together with a set of edges where the edges are 2-subsets of the vertex set. Notice that this definition does not allow for multiple edges or loops. In general on this channel, we have been discussing o

From playlist Graph Theory FAQs

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Photoshop

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Photoshop

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Photoshop Artists

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Photoshop

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intro to graph databases

this a brief high-level overview of graph databases using only an ipad. in this video we discuss what a graph database is and how it differs from relational databases. this also looks at high level use cases.

From playlist graph databases

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Introduction to Graph Analytics

According to industry analysts, graph technology will be foundational for 80% of Analytics and ML workloads by 2025. The reason for this explosion in growth is organizations are needing to ask more and more complex questions of their ever-growing data sets. Furthermore, data science profes

From playlist Ace Your Data Science Interview

Related pages

Graph theory | Triplestore | SPARQL | Query optimization | Resource Description Framework | RDF4J | Inference | PageRank | Glossary of graph theory | Forward chaining | OGC GeoSPARQL | Graph database