-
Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Hajra, A. et al.: Enriching scientific publications from LOD repositories through word embeddings approach (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Mora-Mcginity, M. et al.: MusicWeb: music discovery with open linked semantic metadata (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016)
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- Abstract
- This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in Göttingen, Germany, in November 2016. The 26 full papers and 6 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in several sessions and tracks: Digital Libraries, Information Retrieval, Linked and Social Data, Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures, Metadata and Semantics for Agriculture, Food and Environment, Metadata and Semantics for Cultural Collections and Applications, European and National Projects.
-
Franklin, R.A.: Re-inventing subject access for the semantic web (2003)
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- Abstract
- First generation scholarly research on the Web lacked a firm system of authority control. Second generation Web research is beginning to model subject access with library science principles of bibliographic control and cataloguing. Harnessing the Web and organising the intellectual content with standards and controlled vocabulary provides precise search and retrieval capability, increasing relevance and efficient use of technology. Dublin Core metadata standards permit a full evaluation and cataloguing of Web resources appropriate to highly specific research needs and discovery. Current research points to a type of structure based on a system of faceted classification. This system allows the semantic and syntactic relationships to be defined. Controlled vocabulary, such as the Library of Congress Subject Headings, can be assigned, not in a hierarchical structure, but rather as descriptive facets of relating concepts. Web design features such as this are adding value to discovery and filtering out data that lack authority. The system design allows for scalability and extensibility, two technical features that are integral to future development of the digital library and resource discovery.
- Date
- 30.12.2008 18:22:46
-
Wartburg, K. von; Sibille, C.; Aliverti, C.: Metadata collaboration between the Swiss National Library and research institutions in the field of Swiss historiography (2019)
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- Abstract
- This article presents examples of metadata collaborations between the Swiss National Library (NL) and research institutions in the field of Swiss historiography. The NL publishes the Bibliography on Swiss History (BSH). In order to meet the demands of its research community, the NL has improved the accessibility and interoperability of the BSH database. Moreover, the BSH takes part in metadata projects such as Metagrid, a web service linking different historical databases. Other metadata collaborations with partners in the historical field such as the Law Sources Foundation (LSF) will position the BSH as an indispensable literature hub for publications on Swiss history.
- Date
- 30. 5.2019 19:22:49
- Footnote
- Beitrag in einem Themenheft: 'The Role and Function of National Bibliographies for Research'.
-
Alves dos Santos, E.; Mucheroni, M.L.: VIAF and OpenCitations : cooperative work as a strategy for information organization in the linked data era (2018)
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- Date
- 18. 1.2019 19:13:22
- Source
- Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
-
Brasethvik, T.: ¬A semantic modeling approach to metadata (1998)
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- Date
- 9. 9.2000 17:22:23
- Source
- Internet research. Electronic networking applications and policy. 8(1998) no.5, S.377-386
-
Hooland, S. van; Bontemps, Y.; Kaufman, S.: Answering the call for more accountability : applying data profiling to museum metadata (2008)
0.04
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- Abstract
- Although the issue of metadata quality is recognized as an important topic within the metadata research community, the cultural heritage sector has been slow to develop methodologies, guidelines and tools for addressing this topic in practice. This paper concentrates on metadata quality specifically within the museum sector and describes the potential of data-profiling techniques for metadata quality evaluation. A case study illustrates the application of a generalpurpose data-profiling tool on a large collection of metadata records from an ethnographic collection. After an analysis of the results of the case-study the paper reviews further steps in our research and presents the implementation of a metadata quality tool within an open-source collection management software.
- 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
-
Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008)
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- Abstract
- Folksonomy is the result of describing Web resources with tags created by Web users. Although it has become a popular application for the description of resources, in general terms Folksonomies are not being conveniently integrated in metadata. However, if the appropriate metadata elements are identified, then further work may be conducted to automatically assign tags to these elements (RDF properties) and use them in Semantic Web applications. This article presents research carried out to continue the project Kinds of Tags, which intends to identify elements required for metadata originating from folksonomies and to propose an application profile for DC Social Tagging. The work provides information that may be used by software applications to assign tags to metadata elements and, therefore, means for tags to be conveniently gathered by metadata interoperability tools. Despite the unquestionably high value of DC and the significance of the already existing properties in DC Terms, the pilot study show revealed a significant number of tags for which no corresponding properties yet existed. A need for new properties, such as Action, Depth, Rate, and Utility was determined. Those potential new properties will have to be validated in a later stage by the DC Social Tagging Community.
- Pages
- S.14-22
- 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
-
Rice, R.: Applying DC to institutional data repositories (2008)
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- Abstract
- DISC-UK DataShare (2007-2009), a project led by the University of Edinburgh and funded by JISC (Joint Information Systems Committee, UK), arises from an existing consortium of academic data support professionals working in the domain of social science datasets (Data Information Specialists Committee-UK). We are working together across four universities with colleagues engaged in managing open access repositories for e-prints. Our project supports 'early adopter' academics who wish to openly share datasets and presents a model for depositing 'orphaned datasets' that are not being deposited in subject-domain data archives/centres. Outputs from the project are intended to help to demystify data as complex objects in repositories, and assist other institutional repository managers in overcoming barriers to incorporating research data. By building on lessons learned from recent JISC-funded data repository projects such as SToRe and GRADE the project will help realize the vision of the Digital Repositories Roadmap, e.g. the milestone under Data, "Institutions need to invest in research data repositories" (Heery and Powell, 2006). Application of appropriate metadata is an important area of development for the project. Datasets are not different from other digital materials in that they need to be described, not just for discovery but also for preservation and re-use. The GRADE project found that for geo-spatial datasets, Dublin Core metadata (with geo-spatial enhancements such as a bounding box for the 'coverage' property) was sufficient for discovery within a DSpace repository, though more indepth metadata or documentation was required for re-use after downloading. The project partners are examining other metadata schemas such as the Data Documentation Initiative (DDI) versions 2 and 3, used primarily by social science data archives (Martinez, 2008). Crosswalks from the DDI to qualified Dublin Core are important for describing research datasets at the study level (as opposed to the variable level which is largely out of scope for this project). DataShare is benefiting from work of of the DRIADE project (application profile development for evolutionary biology) (Carrier, et al, 2007), eBank UK (developed an application profile for crystallography data) and GAP (Geospatial Application Profile, in progress) in defining interoperable Dublin Core qualified metadata elements and their application to datasets for each partner repository. The solution devised at Edinburgh for DSpace will be covered in the poster.
- 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
-
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.
-
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
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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)
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- Source
- Library hi tech. 22(2004) no.2
-
Lopatenko, A.: CERIF-2000 : Common European Research Information Format (2002)
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- Abstract
- CERIF-2000 is a set of guidelines, as well metadata and database formats, developed during teh 1990's. The first version was drafted in 1991; the latest version in 2000. The basic idea behind CERIF is to publish a compendium of common practices of research information publication and use; establish clear guidelines for CRIS (Current Research Information System) development which may be helpful for CRIS developers and hosts; and set forth a metadata format for research information which assists research organizations in information exchange, thanks to its common information structure and use of vocabularies.
- Source
- Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
-
Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007)
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- Date
- 22. 9.2007 15:41:14
