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

The Academy Unbound Linked Data as Revolution

Mon, 22 May 2017 07:03:30 +0000

Much has been said about Linked Data, its ties to the Semantic Web, and its application for libraries, but what is it exactly and how does it work? This paper aims to answer these questions by defining Linked Data, discussing problems with libraries’ focus on bibliographic records, and exploring the potential of Linked Data as a solution in a rapidly evolving global discovery environment. A new discovery approach developed by the Bibliothèque nationale de France is presented as a service that takes advantage of the potential of linked data.

URL: https://journals.ala.org/index.php/lrts/article/view/5073/6143
Keywords: Linked Open Data (LOD), Libraries, Archives, and Museums (LAMs), Entity-relationship model, MARC (MAchine-Readable Cataloging), Authority control, Subject access
Author: Schreur, Philip Evan
Publisher: ALCTS (Association for Library Collections and Technical Services)
Date created: 2012-05-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P25M
Educational use: professionalDevelopment
Educational audience: generalPublic
Interactivity type: expositive

Synaptica Tech Talks: Data Modeling with Graphs

Wed, 08 Mar 2017 06:53:18 +0000

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 benefits of reusing ontologies and vocabularies from well-known and authoritative sources.

URL: https://www.youtube.com/watch?v=r4IGWNovzes
Keywords: Graph model, Property graph, Name authority file, Relational model
Author: Loh, Yu Gene
Publisher: Synaptica
Date created: 2016-11-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Linked Data: The World is Your Database

Wed, 08 Mar 2017 06:53:17 +0000

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 of adopting it. This is followed by a brief overview of how the RDF data model and its serializations work and suggestions on how to get started.

URL: http://www.greenchameleon.com/uploads/KWM_Clarke_Loh_LOD_20161115_pub_lr.pdf
Keywords: HTTP URIs, Taxonomy, Controlled Vocabulary, Semantic enrichment
Author: Clarke, Dave
Publisher: Synaptica
Date created: 2016-11-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Moving from RDBMS to Graphs

Thu, 12 Jan 2017 06:45:44 +0000

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 that relational databases are good at automating well-structured business processes, but fail at modelling or storing complex data and its relationships. Although this webinar focuses on solutions offered by Neo4j, it can serve as a useful introduction to the graph model and databases in general.

URL: https://www.youtube.com/watch?v=1mhT8WLgi1g
Keywords: Relational model, Graph model
Author: Boyd, Ryan
Publisher: Neo4j
Date created: 2015-03-24 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P40M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

Databases: Graph vs. Relational

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

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 appropriate to use one model or the other, identifying complexity of the dataset as one of the major factors in the decision.

URL: https://www.youtube.com/watch?v=v6E1MvwmXjM
Keywords: Graph model, Relational model
Author: Mizzell, David
Publisher: YarcData
Date created: 2013-09-19 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

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

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

Wed, 23 Nov 2016 05:50:23 +0000

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 the efficiency and effectiveness of the modeling, recording, representation, integration, storage, and querying of provenance metadata. The authors present an approach to provenance management which they claim "seamlessly integrates the interoperability, extensibility, and inference advantages of Semantic Web technologies with the storage and querying power of an RDBMS to meet the emerging requirements of scientific workflow provenance management". In this paper, they elaborate on the design of a relational RDF store, called RDFProv, which is optimized for scientific workflow provenance querying and management.

URL: http://www.sciencedirect.com/science/article/pii/S0169023X10000455
Keywords: Provenance, RDBMS, Web Ontology Language (OWL), Triple store
Author: Fotouhi, Farshad
Publisher: Elsevier
Date created: 2010-08-08 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive

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

Wed, 23 Nov 2016 05:50:22 +0000

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 for any reasonable model of privacy and trust. This paper reviews previous work in relational database systems on provenance and puts forward the concept that the three main provenances operators from provenance work in relational database systems (insertion, deletion, and copy) can be used on the Semantic Web. Furthermore, it suggests that such information naturally should be stored in or using the name URI of named graphs. A real-world example is used to illustrate that such an approach can help solve practical issues of privacy and trust in social networks using

URL: http://ceur-ws.org/Vol-447/paper9.pdf
Keywords: Provenance, Named graph, RDBMS
Author: Halpin, Harry
Date created: 2009-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

Ontologies and Data Models- Are They the Same?

Sun, 30 Oct 2016 05:39:55 +0000

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 the RDF Data Model and the way it differs from the traditional relational model, mainly by allowing for much greater conceptual modelling.

URL: http://topquadrantblog.blogspot.com/2011/09/ontologies-and-data-models-are-they.html
Keywords: HTTP URIs, Ontology, Relational model, Information modeling
Author: Polikoff, Irene
Publisher: TopQuadrant
Date created: 2011-09-30 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: student
Interactivity type: mixed