Search (170 results, page 1 of 9)

  • × theme_ss:"Metadaten"
  1. Golub, K.; Moon, J.; Nielsen, M.L.; Tudhope, D.: EnTag: Enhanced Tagging for Discovery (2008) 0.07 
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    Abstract
    Purpose: Investigate the combination of controlled and folksonomy approaches to support resource discovery in repositories and digital collections. Aim: Investigate whether use of an established controlled vocabulary can help improve social tagging for better resource discovery. Objectives: (1) Investigate indexing aspects when using only social tagging versus when using social tagging with suggestions from a controlled vocabulary; (2) Investigate above in two different contexts: tagging by readers and tagging by authors; (3) Investigate influence of only social tagging versus social tagging with a controlled vocabulary on retrieval. - Vgl.: http://www.ukoln.ac.uk/projects/enhanced-tagging/.
    Theme
    Social tagging
  2. Syn, S.Y.; Spring, M.B.: Finding subject terms for classificatory metadata from user-generated social tags (2013) 0.05 
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    Abstract
    With the increasing popularity of social tagging systems, the potential for using social tags as a source of metadata is being explored. Social tagging systems can simplify the involvement of a large number of users and improve the metadata-generation process. Current research is exploring social tagging systems as a mechanism to allow nonprofessional catalogers to participate in metadata generation. Because social tags are not from controlled vocabularies, there are issues that have to be addressed in finding quality terms to represent the content of a resource. This research explores ways to obtain a set of tags representing the resource from the tags provided by users. Two metrics are introduced. Annotation Dominance (AD) is a measure of the extent to which a tag term is agreed to by users. Cross Resources Annotation Discrimination (CRAD) is a measure of a tag's potential to classify a collection. It is designed to remove tags that are used too broadly or narrowly. Using the proposed measurements, the research selects important tags (meta-terms) and removes meaningless ones (tag noise) from the tags provided by users. To evaluate the proposed approach to find classificatory metadata candidates, we rely on expert users' relevance judgments comparing suggested tag terms and expert metadata terms. The results suggest that processing of user tags using the two measurements successfully identifies the terms that represent the topic categories of web resource content. The suggested tag terms can be further examined in various usages as semantic metadata for the resources.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.964-980
    Theme
    Social tagging
  3. Morrow, G.; Swire-Thompson, B.; Montgomery Polny, J.; Kopec, M.; Wihbey, J.P.: ¬The emerging science of content labeling : contextualizing social media content moderation (2022) 0.04 
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    Abstract
    In the online information ecosystem, a content label is an attachment to a piece of content intended to contextualize that content for the viewer. Content labels are information about information, such as fact-checks or sensitive content warnings. Research into content labeling is nascent, but growing; researchers have made strides toward understanding labeling best practices to deal with issues such as disinformation, and misleading content that may affect everything from voting to health. To make this review tractable, we focus on compiling the literature that can contextualize labeling effects and consequences. This review summarizes the central labeling literature, highlights gaps for future research, discusses considerations for social media, and explores definitions toward a taxonomy. Specifically, this article discusses the particulars of content labels, their presentation, and the effects of various labels. The current literature can guide the usage of labels on social media platforms and inform public debate over platform moderation.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.10, S.1365-1386
  4. Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008) 0.04 
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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
    Theme
    Social tagging
  5. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.04 
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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.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.8, S.1505-1520
  6. Méndez, E.; López, L.M.; Siches, A.; Bravo, A.G.: DCMF: DC & Microformats, a good marriage (2008) 0.03 
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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
  7. White, H.C.; Carrier, S.; Thompson, A.; Greenberg, J.; Scherle, R.: ¬The Dryad Data Repository : a Singapore framework metadata architecture in a DSpace environment (2008) 0.03 
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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
  8. Lin, X.; Li, J.; Zhou, X.: Theme creation for digital collections (2008) 0.03 
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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
  9. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.03 
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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.
  10. Mayernik, M.S.; Acker, A.: Tracing the traces : the critical role of metadata within networked communications (2018) 0.03 
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    Abstract
    The information sciences have traditionally been at the center of metadata-focused research. The US National Security Agency (NSA) intelligence documents revealed by Edward Snowden in June of 2013 brought the term "metadata" into the public consciousness. Surprisingly little discussion in the information sciences has since occurred on the nature and importance of metadata within networked communication systems. The collection of digital metadata impacts the ways that people experience social and technical communication. Without such metadata, networked communication cannot exist. The NSA leaks, and numerous recent hacks of corporate and government communications, point to metadata as objects of new scholarly inquiry. If we are to engage in meaningful discussions about our digital traces, or make informed decisions about new policies and technologies, it is essential to develop theoretical and empirical frameworks that account for digital metadata. This opinion paper presents 5 key sociotechnical characteristics of metadata within digital networks that would benefit from stronger engagement by the information sciences.
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.1, S.177-180
  11. 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) 0.03 
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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.
  12. Kim, H.L.; Scerri, S.; Breslin, J.G.; Decker, S.; Kim, H.G.: ¬The state of the art in tag ontologies : a semantic model for tagging and folksonomies (2008) 0.03 
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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
    Theme
    Social tagging
  13. Rice, R.: Applying DC to institutional data repositories (2008) 0.03 
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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
  14. Renear, A.H.; Wickett, K.M.; Urban, R.J.; Dubin, D.; Shreeves, S.L.: Collection/item metadata relationships (2008) 0.03 
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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
  15. Sutton, S.A.; Golder, D.: Achievement Standards Network (ASN) : an application profile for mapping K-12 educational resources to achievement (2008) 0.03 
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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
  16. Margaritopoulos, T.; Margaritopoulos, M.; Mavridis, I.; Manitsaris, A.: ¬A conceptual framework for metadata quality assessment (2008) 0.03 
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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
  17. Hooland, S. van; Bontemps, Y.; Kaufman, S.: Answering the call for more accountability : applying data profiling to museum metadata (2008) 0.03 
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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
  18. Zavalina, O.; Palmer, C.L.; Jackson, A.S.; Han, M.-J.: Assessing descriptive substance in free-text collection-level metadata (2008) 0.03 
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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
  19. DeZelar-Tiedman, C.: Exploring user-contributed metadata's potential to enhance access to literary works (2011) 0.03 
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    Abstract
    Academic libraries have moved toward providing social networking features, such as tagging, in their library catalogs. To explore whether user tags can enhance access to individual literary works, the author obtained a sample of individual works of English and American literature from the twentieth and twenty-first centuries from a large academic library catalog and searched them in LibraryThing. The author compared match rates, the availability of subject headings and tags across various literary forms, and the terminology used in tags versus controlled-vocabulary headings on a subset of records. In addition, she evaluated the usefulness of available LibraryThing tags for the library catalog records that lacked subject headings. Options for utilizing the subject terms available in sources outside the local catalog also are discussed.
    Date
    10. 9.2000 17:38:22
  20. Ilik, V.; Storlien, J.; Olivarez, J.: Metadata makeover (2014) 0.03 
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    Abstract
    Catalogers have become fluent in information technology such as web design skills, HyperText Markup Language (HTML), Cascading Stylesheets (CSS), eXensible Markup Language (XML), and programming languages. The knowledge gained from learning information technology can be used to experiment with methods of transforming one metadata schema into another using various software solutions. This paper will discuss the use of eXtensible Stylesheet Language Transformations (XSLT) for repurposing, editing, and reformatting metadata. Catalogers have the requisite skills for working with any metadata schema, and if they are excluded from metadata work, libraries are wasting a valuable human resource.
    Date
    10. 9.2000 17:38:22

Authors

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