AS ISO/IEC 19788.7:2019

$296.44

Information technology — Learning, education and training — Metadata for learning resources, Part 7: Bindings

The objective of this Standard is to provide RDF mappings of the different MLR entities introduced in the MLR framework (AS/NZS ISO/IEC 19788‑1 and its amendment): data element specifications (DESs), resource classes (RCs), data elements (DEs), application profiles (APs), MLR records and data element group specifications (DEGSs).

Table of contents
Header
About this publication
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 IRIs/URIs for ISO/IEC 19788 entities
5.1 MLR identifiers
5.2 RFC 5141-based identifier for ISO/IEC 19788 standard identifiers
5.3 HTTP URIs for MLR entities
5.4 Non-linguistic persistent canonical HTTP URIs for MLR entities
5.4.1 MLR entities other than vocabulary terms
5.4.2 MLR vocabulary terms
5.4.3 Prefixes for MLR entities non-linguistic persistent canonical HTTP URIs
5.5 Linguistic persistent canonical HTTP URIs for MLR entities
5.5.1 General
5.5.2 Linguistic identifier for DESs
5.5.2.1 Example extracted from the ISO/IEC 19788-2 (first edition and first amendment)
5.5.3 Linguistic identifier for RCs
5.5.4 Linguistic identifier for vocabularies
5.5.5 Linguistic identifier for vocabulary terms
5.5.6 Linguistic identifier for PRSs
5.5.7 Linguistic identifier for DEGSs
5.5.8 Linguistic identifier for APs
6 Data elements: From MLR to RDF1313 The version of RDF used in this document is RDF 1.1 (see http://www.w3.org/TR/rdf11-concepts/).
6.1 General
6.1.1 Data elements
6.1.2 From MLR to RDF: At a glance
6.1.3 Mapping of MLR literal content
6.1.4 Prefixes
6.2 Data element with literal content
6.2.1 Literal content data elements
6.2.2 Linguistic MLR data element
6.2.2.1 MLR data element
6.2.2.2 RDF 1.1 data model
6.2.2.3 Serialization using Turtle 1.1 concrete syntax
6.2.3 Non-linguistic data element
6.2.3.1 MLR data elements
6.2.3.2 RDF 1.1 data model
6.2.3.3 Serialization using Turtle 1.1 concrete syntax
6.3 Data element with non-literal content
6.3.1 Non-literal content data elements
6.3.2 MLR data element
6.3.3 RDF 1.1 data model
6.3.4 Serialization using Turtle 1.1 concrete syntax
7 OWL ontology for the ISO/IEC 19788 series
7.1 General
7.2 OWL 2 DL ontology for the MLR: MLROnt
7.2.1 MLROnt ontology expressed using the Manchester syntax
7.2.2 Rendering of the MLROnt ontology
7.2.3 MLROnt class diagram
7.3 Localized versions of the MLROnt ontology
7.3.1 English localized version of the MLR ontology
7.3.2 French localized version of the MLR ontology
8 MLR record
8.1 General
8.2 RDF dataset encoding of an MLR record
8.3 Example: An MLR record and its TriG serialization
8.4 Application profile record
9 MLR vocabularies — SKOS
9.1 MLR vocabularies
9.2 SKOS binding
9.2.1 IRIs for vocabularies
9.2.2 IRIs for concepts in a vocabulary
9.3 From MLR vocabularies to SKOS
9.3.1 General
9.3.2 Example: The MLR vocabulary “ISO_IEC_19788-5:2012:V0200” (Audience role)
9.3.2.1 SKOS representation of the vocabulary (Turtle format)
9.3.2.2 RDF graph
9.4 Extension of an MLR vocabulary
9.5 MLR vocabulary dataset
9.5.1 General
9.5.2 TriG representation of the MLR vocabulary dataset
Annex A
A.1 Resource identifiers
A.1.1 The UUID URN approach
A.1.2 The “tag” URI scheme approach
A.2 Skolemization of blank nodes in RDF graphs
Annex B
B.1 General
B.2 Canonical identifiers for data element specifications (DESs)
B.2.1 Constraints on DES local identifiers (DES_ID)
B.2.2 Global identifier for conceptual DESs
B.3 Canonical identifiers for resource classes (RCs)
B.3.1 Constraints on RC local identifiers (RC_ID)
B.3.2 Global identifier for conceptual RCs
B.4 Canonical identifiers for predefined rule sets (PRSs)
B.4.1 Constraints on PRS local identifiers (PRS_ID)
B.4.2 Global identifier for conceptual PRSs
B.5 Canonical identifiers for data element group specifications (DEGSs)
B.5.1 Constraints on DEGS local identifiers (DEGS_ID)
B.5.2 Global identifier for conceptual DEGSs
B.6 Canonical identifiers for application profiles (APs)
B.6.1 Constraints on AP local identifiers (AP_ID)
B.6.2 Global identifier for conceptual APs
B.7 Canonical identifiers for vocabularies (VOCs)
B.7.1 Constraints on vocabulary local identifiers (Vocabulary_ID)
B.7.2 Global identifier for conceptual VOCs
B.8 Canonical identifiers for vocabulary terms (VOC_TERMs)
B.8.1 Constraints on vocabulary terms (VOC_TERM) local identifiers (Vocabulary_Term_ID)
B.8.2 Global identifier for conceptual VOC_TERMs
Annex C
C.1 Turtles, Termites and Traffic Jams: Exploration in Massively Parallel Microworlds
C.2 Description: MLR data model
C.3 Description: RDF (abstract syntax)
C.3.1 RDF 1.1 data model
C.3.2 Graphical representation
C.4 Description using different RDF serialization format
C.4.1 Turtle
C.4.1.1 Using a @base declaration for the MLR identifiers linguistic canonical HTTP IRI
C.4.1.2 Using a @prefix declaration for the MLR identifiers linguistic canonical HTTP IRI
C.4.2 N-Triples
C.4.3 JSON-LD
C.4.4 RDF/XML
C.5 MLR record for the learning resource
C.5.1 General
C.5.2 TriG serialization of the MLR record
C.5.3 JSON-LD serialization of the MLR record
C.6 Linked data
C.6.1 Linking to resources from DBpedia
C.6.2 Follow your nose!
C.6.2.1 An HTTP GET for the author, using a Web browser
C.6.2.2 A SPARQL explorer (SNORQL) for the DBpedia SPARQL endpoint
C.6.2.3 An HTTP GET for the author, using a REST client
C.6.3 (Partial) bounded description of the book
Annex D
D.1 General
D.2 Persistent IRIs for MLR identifiers
D.3 Dereferencing of MLR identifiers IRIs in a glance
Annex E
Annex F
F.1 General
F.2 Available MLR vocabularies
F.3 Metadata associated with an MLR vocabulary
F.4 Terms and their definitions for an MLR vocabulary
Annex G
G.1 General
G.2 Dublin Core elements
G.3 Dublin Core terms
G.4 Schema.org
G.5 FOAF
G.6 Within MLR itself
Bibliography

Cited references in this standard
Content history
DR AS ISO/IEC 19788.7:2019

Please select a variation to view its description.

Published

13/11/2019

Pages

113

Please select a variation to view its pdf.

AS ISO/IEC 19788.7:2019
$296.44