1、 IEEE Standard for Learning TechnologyConceptual Model for Resource Aggregation or Learning, Education, and Training fIEEE Computer Society SLponsored by the earning Technology Standards Committee IEEE 3 Park Avenue New York, NY 10016-5997 USA 29 June 2012 IEEE Std 1484.13.1-2012IEEE Std 1484.13.1-2
2、012 IEEE Standard for Learning TechnologyConceptual Model for Resource Aggregation for Learning, Education, and Training Sponsor Learning Technology Standards Committee of the IEEE Computer Society Approved 29 March 2012 IEEE-SA Standards Board Permissions Scope notes for the object properties dcter
3、ms:hasPart and dcterms:isPartOf in 8.2 and 8.6, respectively, are reprinted with permission from Dublin CoreMetadata Initiative Recommendation (10 November 2010), DCMI Metadata Terms, http:/dublincore.org/ documents/ 2010/10/11/dcmi-terms/. Copyright 2010. Dublin Core Metadata Initiative http:/www.d
4、ublincore.org/about/copyright/. Licensed under http:/creativecommons.org/ licenses/ by/3.0/. The graphics legends shown in Figure F.1 and Figure G.1 in Annex F and Annex G, respectively, are reprinted with permission from Revelytix, Inc. 20062012. Abstract: A conceptual model for interpreting extern
5、alized representations of digital aggregations of resources for learning, education, and training is defined. The conceptual model is defined as an ontology. Internal compositions and uses of digital resources are not specified nor are processing methods for resource aggregations. Keywords: aggregat
6、ion format, conceptual model, content aggregation, digital aggregation, digital resource, IEEE 1484.13.1, resource aggregation, resource aggregation format The Institute of Electrical and Electronics Engineers, Inc. 3 Park Avenue, New York, NY 10016-5997, USA Copyright 2012 by The Institute of Elect
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20、ghts, and the risk of infringement of such rights, is entirely their own responsibility. Further information may be obtained from the IEEE Standards Association. Copyright 2012 IEEE. All rights reserved. viParticipants At the time this IEEE standard was completed, the Resource Aggregation Models for
21、 Learning, Education, and Training (RAMLET) Working Group had the following membership: Kerry Blinco, Chair Scott Lewis, Technical Editor Nancy Hoebelheinrich Willem Kraan Katrien Verbert The following members of the individual balloting committee voted on this standard. Balloters may have voted for
22、 approval, disapproval, or abstention. Charles Barest Kerry Blinco Mitchell Bonnett Keith Chow Geoffrey Darnton Ryan Dellolio David Fuschi Randall Groves Rutger A. Heunks Nancy Hoebelheinrich Werner Hoelzl Don Holmes Noriyuki Ikeuchi Mark Jaeger Piotr Karocki Fanny Klett Willem Kraan Susan Land Greg
23、 Luri David Massart Michael S. Newman Daniel Rehak Tyde Richards Bartien Sayogo Gil Shultz Steven Smith Thomas Starai Gerald Stueve Marcy Stutzman Katrien Verbert John Vergis When the IEEE-SA Standards Board approved this standard on 29 March 2012, it had the following membership: Richard H. Hulett,
24、 Chair John Kulick, Vice Chair Robert M. Grow, Past Chair Satish Aggarwal Masayuki Ariyoshi Peter Balma William Bartley Ted Burse Clint Chaplin Wael Diab Jean-Philippe Faure Alexander Gelman Paul Houz Jim Hughes Young Kyun Kim Joseph L. Koepfinger* David J. Law Thomas Lee Hung Ling Oleg Logvinov Ted
25、 Olsen Gary Robinson Jon Walter Rosdahl Mike Seavey Yatin Trivedi Phil Winston Yu Yuan *Member Emeritus Also included are the following nonvoting IEEE-SA Standards Board liaisons: Richard DeBlasio, DOE Representative Michael Janezic, NIST Representative Julie Alessi IEEE Standards Program Manager, D
26、ocument Development Michael D. Kipness IEEE Standards Program Manager, Technical Program DevelopmentCopyright 2012 IEEE. All rights reserved. viiIntroduction This introduction is not part of IEEE Std 1484.13.1-2012, IEEE Standard for Learning TechnologyConceptual Model for Resource Aggregation for L
27、earning, Education, and Training. This standard defines a conceptual model for interpreting externalized representations of digital aggregations of resources for learning, education, and training. The conceptual model is defined as an ontology. Internal compositions and uses of digital resources are
28、 not specified nor are processing methods for resource aggregations. Acknowledgments The Resource Aggregation Models for Learning, Education, and Training (RAMLET) Working Group would like to thank the following people for their contributions and comments during the formative stages of this standard
29、: Andy Heath, Rolf Lindner, Claude Ostyn, Daniel Rehak, Tyde Richards, Robby Robson, Christian Stracke, and Rob Wolfe. The Working Group would also like to thank Revelytix, Inc., for making available the Knoodlontology tools that were used to aid in the development and maintenance of the ontology fi
30、les and to create the graphical representations in Annex G and Annex H.aaKnoodl is a registered trademark of Revelytix, Inc. This information is given for the convenience of users of this standard and does not constitute an endorsement by the IEEE of these products. Equivalent products may be used i
31、f they can be shown to lead to the same results. Copyright 2012 IEEE. All rights reserved. viiiContents 1. Overview 1 1.1 Scope . 1 1.2 Purpose 1 2. Normative references 2 3. Definitions, acronyms, and abbreviations 2 3.1 Definitions . 2 3.2 Acronyms and abbreviations . 5 4. Special terms 7 5. Class
32、 and property prefix definitions 7 6. Conformance 7 6.1 Conforming aggregation instances 8 6.2 Conforming bindings. 8 6.3 Conforming mappings . 8 6.4 Conforming extensions of the core ontology. 8 6.5 Conforming transforming implementations. 8 7. Conceptual modelclasses 9 7.1 ramlet:administrativeDes
33、criptorObject 9 7.2 ramlet:admRef . 9 7.3 ramlet:aggregationID. 10 7.4 ramlet:aggregationSchema 10 7.5 ramlet:aggregationSchemaVersion 11 7.6 ramlet:aggregationType. 11 7.7 ramlet:alternateID 11 7.8 ramlet:altResourceRef . 12 7.9 ramlet:anchor. 12 7.10 ramlet:anchorType. 13 7.11 ramlet:assertion 13
34、7.12 ramlet:beginPoint. 14 7.13 ramlet:cardinalityLabel 14 7.14 ramlet:checksum 14 7.15 ramlet:checksumType 15 7.16 ramlet:choice . 15 7.17 ramlet:componentTarget 16 7.18 ramlet:condition. 16 7.19 ramlet:coordinates . 16 7.20 ramlet:creationDate . 17 7.21 ramlet:defaultSelection 17 7.22 ramlet:descr
35、iptiveDescriptorObject. 18 7.23 ramlet:descriptiveRef. 18 7.24 ramlet:descriptorObject . 18 7.25 ramlet:descriptorTypeIndicator . 20 7.26 ramlet:digitalResource. 20 7.27 ramlet:digitalResourceFragment 20 7.28 ramlet:dynamicStructure 21 7.29 ramlet:dynamicStructureID . 21 Copyright 2012 IEEE. All rig
36、hts reserved. ix7.30 ramlet:dynamicStructureType . 22 7.31 ramlet:elementID. 22 7.32 ramlet:encodingType . 23 7.33 ramlet:endPoint 23 7.34 ramlet:except . 24 7.35 ramlet:extent 24 7.36 ramlet:false 24 7.37 ramlet:fileDescriptor 25 7.38 ramlet:fileSize 25 7.39 ramlet:functionalResourceGroup. 26 7.40
37、ramlet:generatingTool 26 7.41 ramlet:generatingToolVersion. 26 7.42 ramlet:groupingID . 27 7.43 ramlet:hasOrder . 27 7.44 ramlet:hasRank 28 7.45 ramlet:humanLanguage . 28 7.46 ramlet:icon. 29 7.47 ramlet:identifierType . 29 7.48 ramlet:intendedUse 29 7.49 ramlet:interfaceDefLink 30 7.50 ramlet:intra
38、AggregationLink . 30 7.51 ramlet:inventory. 31 7.52 ramlet:localRef 31 7.53 ramlet:locator. 32 7.54 ramlet:locatorDescriptor 32 7.55 ramlet:maxSelections. 33 7.56 ramlet:mimeType. 33 7.57 ramlet:minSelections . 34 7.58 ramlet:modificationDate 34 7.59 ramlet:nodeID 34 7.60 ramlet:nodeVisibility . 35
39、7.61 ramlet:note. 35 7.62 ramlet:parallel 36 7.63 ramlet:party 36 7.64 ramlet:partyEmail 37 7.65 ramlet:partyName 37 7.66 ramlet:partyRole 37 7.67 ramlet:partyType . 38 7.68 ramlet:partyURI. 38 7.69 ramlet:provenance . 39 7.70 ramlet:remoteDescriptorObject . 39 7.71 ramlet:remoteNode 39 7.72 ramlet:
40、remoteResource 40 7.73 ramlet:remoteTopNode 40 7.74 ramlet:require. 41 7.75 ramlet:resourceAggregation 41 7.76 ramlet:resourceGroup 41 7.77 ramlet:resourceIntraAggregationLink . 42 7.78 ramlet:resourceProcessing . 42 7.79 ramlet:resourceProcessingAlgorithm. 43 7.80 ramlet:resourceProcessingBehavior.
41、 43 7.81 ramlet:resourceProcessingKey. 44 7.82 ramlet:resourceProcessingSet 44 7.83 ramlet:resourceProcessingType. 45 7.84 ramlet:resourceType 45 7.85 ramlet:resourceWrapper 45 Copyright 2012 IEEE. All rights reserved. x7.86 ramlet:resourceWrapperSet . 46 7.87 ramlet:rights. 46 7.88 ramlet:selection
42、 47 7.89 ramlet:shapeIndicator 47 7.90 ramlet:source . 47 7.91 ramlet:staticStructure. 48 7.92 ramlet:staticStructureSet 48 7.93 ramlet:staticStructureType. 49 7.94 ramlet:status. 49 7.95 ramlet:stream . 50 7.96 ramlet:streamType . 50 7.97 ramlet:structRef . 50 7.98 ramlet:structureNode . 51 7.99 ra
43、mlet:structureNodeType . 51 7.100 ramlet:technicalDescriptorObject 52 7.101 ramlet:textType 52 7.102 ramlet:title 53 7.103 ramlet:topNode 53 7.104 ramlet:transformOrdering 55 7.105 ramlet:true 55 7.106 ramlet:virtualResourceGroup. 56 7.107 ramlet:wholeAggregationDescriptorObject. 56 8. Conceptual mo
44、delobject properties 57 8.1 ramlet:describes. 57 8.2 dcterms:hasPart 57 8.3 ramlet:includes. 58 8.4 ramlet:isDescribedBy 58 8.5 ramlet:isIncludedBy. 58 8.6 dcterms:isPartOf 58 8.7 ramlet:isReferencedBy 59 8.8 ramlet:references . 59 9. Conceptual modeldata types. 59 9.1 xsd:anyURI 60 9.2 xsd:base64Bi
45、nary. 60 9.3 xsd:positiveInteger. 60 9.4 xsd:string . 60 9.5 xsd:token 60 Annex A (informative) Bibliography . 61 Annex B (informative) Conceptual overview. 64 Annex C (informative) Ontologiesa brief primer . 69 Annex D (informative) Use cases. 71 Annex E (informative) Mapping of the XML Linking Lan
46、guage mapping ontology to the conceptual model for resource aggregation. 82 Annex F (informative) Graphical representations of RAMLET classes. 88 Copyright 2012 IEEE. All rights reserved. xiAnnex G (informative) Graphical representations of RAMLET properties . 130 Annex H (normative) Internet availa
47、bility and use of the Turtle representations of the conceptual model and XLink mapping 133 Annex I (informative) Internet availability and use of the RDF/XML representations of the conceptual model and XLink mapping 134 Copyright 2012 IEEE. All rights reserved. 1IEEE Standard for Learning Technology
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