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A conceptual data schema that defines the structure of a metadata instance for a learning object is specified in this standard. For this standard, a learning object is defined as any entity, digital or non-digital, that is used for learning, education, or training; a metadata instance for a learning object describes relevant characteristics of the learning object to which it applies. Such characteristics can be regrouped in general, life cycle, meta-metadata, educational, technical, educational, rights, relation, annotation, and classification categories. The conceptual data schema defined in this standard specifies the data elements of which a metadata instance for a learning object is composed and allows for linguistic diversity of both learning objects and the metadata instances that describe them. It is intended that this standard will be referenced by other standards that will define the implementation descriptions of the data schema, so that a metadata instance for a learning object can be used by a learning technology system to manage, locate, evaluate, or exchange learning objects. The intent of this standard is to specify a base schema, which can be used to build on as practice develops, for instance in order to facilitate automatic, adaptive scheduling of learning objects by software agents.
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A conceptual data schema that defines the structure of a metadata instance for a learning object is specified in this standard. For this standard, a learning object is defined as any entity, digital or non-digital, that is used for learning, education, or training; a metadata instance for a learning object describes relevant characteristics of the learning object to which it applies. Such characteristics can be regrouped in general, life cycle, meta-metadata, educational, technical, educational, rights, relation, annotation, and classification categories. The conceptual data schema defined in this standard specifies the data elements of which a metadata instance for a learning object is composed and allows for linguistic diversity of both learning objects and the metadata instances that describe them. It is intended that this standard will be referenced by other standards that will define the implementation descriptions of the data schema, so that a metadata instance for a learning object can be used by a learning technology system to manage, locate, evaluate, or exchange learning objects. The intent of this standard is to specify a base schema, which can be used to build on as practice develops, for instance in order to facilitate automatic, adaptive scheduling of learning objects by software agents.
Metadata --- Metadata. --- Standards.
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Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their information in interoperable ways (ʺparticipatory metadataʺ) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice.
Dublin Core --- Metadata --- Congresses.
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Hashtags (Metadata) --- Social media --- Hashtags (Metadata). --- Social media.
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Metadata such as the hashtag is an important dimension of social media communication. Despite its important role in practices such as curating, tagging, and searching content, there has been little research into how meanings are made with social metadata. This book considers how hashtags have expanded their reach from an information-locating resource to an interpersonal resource for coordinating social relationships and expressing solidarity, affinity, and affiliation. It adopts a social semiotic perspective to investigate the communicative functions of hashtags in relation to both language and images. This book is a follow up to Zappavigna's 2012 model of ambient affiliation, providing an extended analytical framework for exploring how affiliation occurs, bond by bond, in online discourse. It focuses in particular on the communing function of hashtags in metacommentary and ridicule, using recent Twitter discourse about US President Donald Trump as a case study. It is essential reading for researchers as well as undergraduates studying social media on any academic course.
Hashtags (Metadata). --- Social media. --- Hashtags (Metadata) --- Social media --- Metadata --- User-generated media --- Communication --- User-generated content
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"A conceptual data scheme that defines the structure of metadata for a learning object is specified in this standard.".
Metadata --- Data about data --- Meta-data --- Information organization --- Standards. --- Metadata. --- Metadata harvesting.
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People have a hard time communicating, and also have a hard time finding business knowledge in the environment. With the sophistication of search technologies like Google, business people expect to be able to get their questions answered about the business just like you can do an internet search. The truth is, knowledge management is primitive today, and it is due to the fact that we have poor business metadata management. This book is about all the groundwork necessary for IT to really support the business properly. By providing not just data, but the context behind the data. For th
Database management. --- Metadata. --- Management information systems.
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