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IEEE standard for learning object metadata. : Corrigenda for 1484.12.1 LOM (Learning Object Metadata).
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ISBN: 073816609X Year: 2011 Publisher: New York : IEEE,

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Abstract

This corrigendum clarifies and corrects technical errors, editorial errors, and omissions in IEEE Std 1484.12.1-2002. Keywords: IEEE 1484.12.1, learning object, learning object metadata (LOM), metadata, reuse.


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Library linked data : research and adoption
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ISBN: 0838958974 9780838958971 9780838958988 0838958982 9780838958995 0838958990 0838958966 9780838958964 9780838958964 0838958966 Year: 2013 Publisher: Chicago American Library Association

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Libraries are at a tipping point in adoption of linked data, and this issue of Library Technology Reports explores current research in linked open data, explaining concepts and pioneering services.


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Metadata and semantic research : 14th International Conference, MTSR 2020, Madrid, Spain, December 2-4, 2020, revised selected papers
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ISBN: 3030719030 3030719022 Year: 2021 Publisher: Cham, Switzerland : Springer,

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IEEE recommended practice for learning technology : metadata encoding and transmission standard (METS) mapping to the conceptual model for resource aggregation.
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ISBN: 0738188484 Year: 2013 Publisher: New York : IEEE,

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This recommended practice specifies how the elements and attributes defined in the Metadata Encoding and Transmission Standard (METS) relate to the components of the conceptual model for resource aggregation defined in IEEE Std 1484.13.1-2012. Keywords: aggregation format, conceptual model, content aggregation, digital aggregation, digital resource, IEEE 1484.13.2, Metadata Encoding and Transmission Standard, RAMLET, resource aggregation, resource aggregation format.


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IEEE standard for learning object metadata.
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ISBN: 0738132977 0738132985 Year: 2002 Publisher: New York : IEEE,

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"A conceptual data scheme that defines the structure of metadata for a learning object is specified in this standard.".


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Optimizing the display and interpretation of data
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ISBN: 9780128053416 0128053410 9780128045138 0128045132 Year: 2016 Publisher: Amsterdam

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Data model patterns
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ISBN: 9780120887989 0120887983 1281050334 0080477038 9780080477039 Year: 2006 Publisher: Amsterdam Boston Elsevier Morgan Kaufmann

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In recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition of the importance to integrate the data that has traditionally only been available from disparate sources. An important component of this integration is the management of the "metadata? that describe, catalogue, and provide access to the various forms of underlying business data. The "me


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The metadata manual
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ISBN: 1780633955 1843347296 9781780633954 1306176840 9781306176842 9781843347293 9781843347293 Year: 2013 Publisher: Oxford

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Cultural heritage professionals have high levels of training in metadata. However, the institutions in which they practice often depend on support staff, volunteers, and students in order to function. With limited time and funding for training in metadata creation for digital collections, there are often many questions about metadata without a reliable, direct source for answers. The Metadata Manual provides such a resource, answering basic metadata questions that may appear, and exploring metadata from a beginner's perspective. This title covers metadata basics, XML basics, Dublin Core, VRA C


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IEEE standard for learning technology : data model for reusable competency definitions.
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ISBN: 0738156965 0738156957 Year: 2008 Publisher: New York : IEEE,

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This Standard defines a data model for describing, referencing, and sharing competency definitions, primarily in the context of online and distributed learning. This Standard provides a way to represent formally the key characteristics of a competency, independently of its use in any particular context. It enables interoperability among learning systems that deal with competency information by providing a means for them to refer to common definitions with common meanings.


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IEEE standard for learning technology extensible markup language (XML) schema binding for data model for content object communication.
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ISBN: 0738148784 0738148792 Year: 2006 Publisher: New York : IEEE,

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This Standard specifies a World Wide Web Consortium (W3C) Extensible Markup Language (XML) binding of the data model defined in IEEE Std 1484.11.1TM-2004. The purpose of this Standard is to allow for the creation of IEEE Std 1484.11.1-2004 data-model instances in XML. This Standard uses the W3C XML Schema definition language as the encoding, which allows for interoperability and the exchange of data-model instances between various systems.

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