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Articulates differences between the RDF abstract data model and the XML and relational models.

Synaptica Tech Talks: Data Modeling with Graphs

This tutorial explores data modelling by comparing and contrasting traditional relational databases with property graph databases and RDF Linked Data graph databases. Also discusses the [...]

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By |March 7th, 2017|Comments Off on Synaptica Tech Talks: Data Modeling with Graphs

Linked Data: The World is Your Database

This PDF contains slides used at a talk given at KMWorld 2016. It begins by introducing the basic principles of Linked Data and the advantages [...]

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By |March 7th, 2017|Comments Off on Linked Data: The World is Your Database

Moving from RDBMS to Graphs

This webinar discusses why companies are shifting away from RDBMS towards graph databases to unlock the business value in their data relationships. The speaker stresses [...]

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By |January 11th, 2017|Comments Off on Moving from RDBMS to Graphs

Databases: Graph vs. Relational

This video describes the differences between graph database models (such as RDF) and relational models (RDBMS). The narrator gives examples of when it would be [...]

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By |January 8th, 2017|Comments Off on Databases: Graph vs. Relational

How Does a Graph Database Differ From a Relational Database?

This video describes the difference between a graph database model (such as RDF) and the relational database model (RDBMS). Focuses on the increased efficiency of [...]

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By |January 8th, 2017|Comments Off on How Does a Graph Database Differ From a Relational Database?

RDFProv: A Relational RDF Store for Querying and Managing Scientific Workflow Provenance

Provenance metadata has become increasingly important to support scientific discovery, reproducibility, result interpretation, and problem diagnosis in scientific workflow environments. The provenance management problem concerns [...]

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By |November 22nd, 2016|Comments Off on RDFProv: A Relational RDF Store for Querying and Managing Scientific Workflow Provenance

Provenance: The Missing Component of the Semantic Web for Privacy and Trust

Semantic Web data currently does not have any standardized or de facto agreed upon way to exhibit provenance information, even though provenance is the foundation [...]

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By |November 22nd, 2016|Comments Off on Provenance: The Missing Component of the Semantic Web for Privacy and Trust

Ontologies and Data Models- Are They the Same?

This blog post from "Voyages of the Semantic Enterprise" discusses issues related to the title question, including a brief history of data modelling and how [...]

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By |October 29th, 2016|Comments Off on Ontologies and Data Models- Are They the Same?

Introduction and Application Scenarios

This module introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published [...]

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By |October 22nd, 2016|Comments Off on Introduction and Application Scenarios

Scaling Up

This module addresses the main issues of Linked Data and scalability. In particular, it provides details on approaches and technologies for clustering, distributing, sharing, and [...]

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By |October 22nd, 2016|Comments Off on Scaling Up