-
Lin, X.; Li, J.; Zhou, X.: Theme creation for digital collections (2008)
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- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Méndez, E.; López, L.M.; Siches, A.; Bravo, A.G.: DCMF: DC & Microformats, a good marriage (2008)
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- Abstract
- This report introduces the Dublin Core Microformats (DCMF) project, a new way to use the DC element set within X/HTML. The DC microformats encode explicit semantic expressions in an X/HTML webpage, by using a specific list of terms for values of the attributes "rev" and "rel" for <a> and <link> elements, and "class" and "id" of other elements. Microformats can be easily processed by user agents and software, enabling a high level of interoperability. These characteristics are crucial for the growing number of social applications allowing users to participate in the Web 2.0 environment as information creators and consumers. This report reviews the origins of microformats; illustrates the coding of DC microformats using the Dublin Core Metadata Gen tool, and a Firefox extension for extraction and visualization; and discusses the benefits of creating Web services utilizing DC microformats.
- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Liu, X.; Qin, J.: ¬An interactive metadata model for structural, descriptive, and referential representation of scholarly output (2014)
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- Abstract
- The scientific metadata model proposed in this article encompasses both classical descriptive metadata such as those defined in the Dublin Core Metadata Element Set (DC) and the innovative structural and referential metadata properties that go beyond the classical model. Structural metadata capture the structural vocabulary in research publications; referential metadata include not only citations but also data about other types of scholarly output that is based on or related to the same publication. The article describes the structural, descriptive, and referential (SDR) elements of the metadata model and explains the underlying assumptions and justifications for each major component in the model. ScholarWiki, an experimental system developed as a proof of concept, was built over the wiki platform to allow user interaction with the metadata and the editing, deleting, and adding of metadata. By allowing and encouraging scholars (both as authors and as users) to participate in the knowledge and metadata editing and enhancing process, the larger community will benefit from more accurate and effective information retrieval. The ScholarWiki system utilizes machine-learning techniques that can automatically produce self-enhanced metadata by learning from the structural metadata that scholars contribute, which will add intelligence to enhance and update automatically the publication of metadata Wiki pages.
-
Kurth, M.; Ruddy, D.; Rupp, N.: Repurposing MARC metadata : using digital project experience to develop a metadata management design (2004)
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- Abstract
- Metadata and information technology staff in libraries that are building digital collections typically extract and manipulate MARC metadata sets to provide access to digital content via non-MARC schemes. Metadata processing in these libraries involves defining the relationships between metadata schemes, moving metadata between schemes, and coordinating the intellectual activity and physical resources required to create and manipulate metadata. Actively managing the non-MARC metadata resources used to build digital collections is something most of these libraries have only begun to do. This article proposes strategies for managing MARC metadata repurposing efforts as the first step in a coordinated approach to library metadata management. Guided by lessons learned from Cornell University library mapping and transformation activities, the authors apply the literature of data resource management to library metadata management and propose a model for managing MARC metadata repurposing processes through the implementation of a metadata management design.
- Source
- Library hi tech. 22(2004) no.2, S.144-152
-
Duval, E.; Hodgins, W.; Sutton, S.; Weibel, S.L.: Metadata principles and practicalities (2002)
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- Abstract
- For those of us still struggling with basic concepts regarding metadata in this brave new world in which cataloging means much more than MARC, an article like this is welcome indeed. In this 30.000-foot overview of the metadata landscape, broad issues such as modularity, namespaces, extensibility, refinement, and multilingualism are discussed. In addition, "practicalities" like application profiles, syntax and semantics, metadata registries, and automated generation of metadata are explained. Although this piece is not exhaustive of high-level metadata issues, it is nonetheless a useful description of some of the most important issues surrounding metadata creation and use. The rapid changes in the means of information access occasioned by the emergence of the World Wide Web have spawned an upheaval in the means of describing and managing information resources. Metadata is a primary tool in this work, and an important link in the value chain of knowledge economies. Yet there is much confusion about how metadata should be integrated into information systems. How is it to be created or extended? Who will manage it? How can it be used and exchanged? Whence comes its authority? Can different metadata standards be used together in a given environment? These and related questions motivate this paper. The authors hope to make explicit the strong foundations of agreement shared by two prominent metadata Initiatives: the Dublin Core Metadata Initiative (DCMI) and the Institute for Electrical and Electronics Engineers (IEEE) Learning Object Metadata (LOM) Working Group. This agreement emerged from a joint metadata taskforce meeting in Ottawa in August, 2001. By elucidating shared principles and practicalities of metadata, we hope to raise the level of understanding among our respective (and shared) constituents, so that all stakeholders can move forward more decisively to address their respective problems. The ideas in this paper are divided into two categories. Principles are those concepts judged to be common to all domains of metadata and which might inform the design of any metadata schema or application. Practicalities are the rules of thumb, constraints, and infrastructure issues that emerge from bringing theory into practice in the form of useful and sustainable systems.
- Source
- D-Lib magazine. 8(2002) no.4, x S
-
Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012)
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- Abstract
- The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg's () metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (>0.6), a Fisher's exact test for nonparametric data was used to determine significance (p < .05). Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have "scheme harmonization" (compatibility and interoperability with related schemes) as an objective; schemes with the objective "abstraction" (a conceptual model exists separate from the technical implementation) also have the objective "sufficiency" (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective "data publication" do not have the objective "element refinement." The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes.
-
Taube, A.: Metadaten zur Erschließung und Suche von Internetressourcen (1999)
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- Type
- x
-
Krämer, T.: Interoperabilität von Metadatenstandards und Dokumentretrieval (2004)
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- x
-
Jimenez, V.O.R.: Nuevas perspectivas para la catalogacion : metadatos ver MARC (1999)
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- Date
- 30. 3.2002 19:45:22
- Source
- Revista Española de Documentaçion Cientifica. 22(1999) no.2, S.198-219
-
Andresen, L.: Metadata in Denmark (2000)
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- Date
- 16. 7.2000 20:58:22
-
MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004)
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- Source
- Library hi tech. 22(2004) no.1
-
Moen, W.E.: ¬The metadata approach to accessing government information (2001)
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- Date
- 28. 3.2002 9:22:34
-
MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004)
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- Source
- Library hi tech. 22(2004) no.1
-
MARC and metadata : METS, MODS, and MARCXML: current and future implications part 2 (2004)
0.02
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- Source
- Library hi tech. 22(2004) no.2
-
Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany (2008)
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- Abstract
- 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 ("participatory metadata") 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.
-
Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007)
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- Date
- 22. 9.2007 15:41:14
-
Lightle, K.S.; Ridgway, J.S.: Generation of XML records across multiple metadata standards (2003)
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McClelland, M.; McArthur, D.; Giersch, S.; Geisler, G.: Challenges for service providers when importing metadata in digital libraries (2002)
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