Understands the RDF abstract data model as a directed labeled graph. – Linked Data for Professional Education

Validating RDF Data

Fri, 15 Sep 2017 09:45:50 +0000

This book describes two languages for implementing constraints on RDF data, describing the main features of both Shape Expressions (ShEx) and Shapes Constraints Language (SHACL) from a user perspective, and also offering a comparison of the technologies. The authors develop a small number of examples that typify validation requirements and demonstrate how they can be met with ShEx and SHACL. The book is not intended to be a formal specification of the languages, for which the interested reader can consult the corresponding reference documents, but rather, it is meant to serve as an introduction to the technologies with some background about the rationale of their design and some points of comparison.

URL: http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1091
Keywords: Shape Expressions (ShEx), Shapes Constraints Language (SHACL), Data validation
Author: Kontokostas, Dimitris
Publisher: Morgan & Claypool Publishers
Date created: 2017-08-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P8H
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: expositive

Visualizing RDF Graphs

Mon, 09 Jan 2017 06:45:30 +0000

In this video tutorial, the presenter uses Omnigraffle to sketch out the RDF data model, explaining each component as he does so. The walk-through is not purely conceptual; the presenter also uses data from an RDF/XML file to fill in the URIs corresponding to the nodes and edges of his graph. Finally, a second RDF visualization tool, RDF Gravity, is briefly demonstrated.

URL: https://www.youtube.com/watch?v=ube9BUhjeUk
Keywords: RDF, Triple, Graph, HTTP URIs
Author: Sherlock, David
Date created: 2013-06-05 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M

How Does a Graph Database Differ From a Relational Database?

Mon, 09 Jan 2017 06:45:30 +0000

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 discovery complex relationships when edges and nodes are used instead of tables and keys.

URL: https://www.youtube.com/watch?v=41qdmKIIMz0
Keywords: Graph database, Relational model
Author: Mizzell, david
Publisher: YarcData
Date created: 2012-10-06 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P5M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Linked Data Basics for Techies

Thu, 29 Dec 2016 06:44:04 +0000

This guide is intended to be a crash course for a techie/programmer who needs to learn the basics ASAP. It is not intended as an introduction for managers or policy makers. It is primarily aimed at people who are tasked with creating RDF and need information quickly. It is also useful to people who want to work with RDF data.

URL: http://openorg.ecs.soton.ac.uk/wiki/Linked_Data_Basics_for_Techies
Keywords: HTTP URIs, Namespace, Triple, Graph
Publisher: OpenOrg
Date created: 2015-03-26 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M

Expressing Dublin Core Metadata Using RDF

Wed, 21 Dec 2016 06:43:13 +0000

This document provides recommendations for expressing Dublin Core metadata using RDF, the Resource Description Framework. It describes how the features of the DCMI Abstract Model are represented using the RDF data model. It does not rely on any specific RDF syntax, though examples using RDF/XML are provided.

URL: http://dublincore.org/documents/dc-rdf/
Keywords: RDF/XML, Dublin Core
Author: Naeve, Ambjörn
Publisher: Dublin Core Metadata Initiative (DCMI)
Date created: 2008-01-14 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Scaling Up

Sun, 23 Oct 2016 05:39:26 +0000

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 caching data. Furthermore, it addresses the means for publishing data and the relationship between Big Data and Linked Data, exploring how some of the solutions can be transferred in the context of Linked Data.

URL: http://www.euclid-project.eu/modules/chapter6.html
Keywords: MapReduce, Linked Data, Big Data, Scalability, NoSQL, Hadoop
Publisher: EUCLID Project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H
Educational use: professionalDevelopment
Educational audience: student
Interactivity type: mixed

Scaling Up Quiz

Sun, 23 Oct 2016 05:39:26 +0000

Ten multiple choice questions that are intended to test one's knowledge after reading and viewing the materials in Module 6: Scaling Up (http://www.euclid-project.eu/modules/course6).

URL: http://www.euclid-project.eu/content/chapter-6-quiz.html
Keywords: Hadoop, NoSQL, Scalability, Big Data, MapReduce, Linked Data
Publisher: EUCLID Project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

A survey of RDF storage approaches

Fri, 02 Sep 2016 05:05:14 +0000

This paper gives an overview of the features of techniques for storing RDF data from the perspective of addressing the need to efficiently store and retrieve RDF data as the number and scale of Semantic Web in real-word applications in use increase. As datasets grow larger and more datasets are linked together, scalability becomes more important. Efficient data storage and query processing that can scale to large amounts of possibly schema-less data has become an important research topic.

URL: http://arima.inria.fr/015/pdf/Vol.15.pp.11-35.pdf
Keywords: Dataset, RDF, Semantic Web, Scalability, Triple store, RDBMS
Author: Blin, Guillaume
Date created: 2012-02-07 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M

Storing and Indexing Massive RDF Data Sets

Fri, 02 Sep 2016 05:05:14 +0000

This paper presents a general survey of the current state of the art in RDF storage and indexing. It identifies three different perspectives on RDF, each of which has drawn from ideas and results in three distinct research communities to propose solutions for managing RDF data: relational databases (for the relational perspective); information retrieval (for the entity perspective); and graph theory and graph databases (for the graph-based perspective).

URL: http://www.win.tue.nl/~yluo/seeqr/files/11survey.pdf
Keywords: Dataset, RDF, Triple store, RDBMS, Graph, Information retrieval
Author: Vansummeren, Stijn
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Markup Languages and Document Processing: Semantic Web and RDF Lecture

Abi Evans — Tue, 10 Nov 2015 02:57:31 +0000

This lesson plan was used for the course "Markup Languages and Document Processing", part of the Master in Informatics and Computing Engineering program at Porto University. Contains Bibliography and Materials (most with links) used to achieve the following learning goals: Enumerate the goals of the Semantic Web; Identify semantic web technologies and characterize their scope;
Describe the RDF model as a graph with statements about resources, each with a subject, a predicate and an object; Relate RDF graphs with their XML serialized versions.

URL: https://web.fe.up.pt/~jlopes/doku.php/teach/lapd/lectures/09
Keywords: Serialization, Graph model, Semantic Web
Author: Lopes, J. Correia
Date created: 2014-05-14 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: expositive