Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 11. November 2018)
1Gursoy, A. ; Wickett, K. ; Feinberg, M.: Understanding tag functions in a moderated, user-generated metadata ecosystem.
In: Journal of documentation. 74(2018) no.3, S.490-508.
Abstract: Purpose The purpose of this paper is to investigate tag use in a metadata ecosystem that supports a fan work repository to identify functions of tags and explore the system as a co-constructed communicative context. Design/methodology/approach Using modified techniques from grounded theory (Charmaz, 2007), this paper integrates humanistic and social science methods to identify kinds of tag use in a rich setting. Findings Three primary roles of tags emerge out of detailed study of the metadata ecosystem: tags can identify elements in the fan work, tags can reflect on how those elements are used or adapted in the fan work, and finally, tags can express the fan author's sense of her role in the discursive context of the fan work repository. Attending to each of the tag roles shifts focus away from just what tags say to include how they say it. Practical implications Instead of building metadata systems designed solely for retrieval or description, this research suggests that it may be fruitful to build systems that recognize various metadata functions and allow for expressivity. This research also suggests that attending to metadata previously considered unusable in systems may reflect the participants' sense of the system and their role within it. Originality/value In addition to accommodating a wider range of tag functions, this research implies consideration of metadata ecosystems, where different kinds of tags do different things and work together to create a multifaceted artifact.
Inhalt: Vgl.: https://www.emeraldinsight.com/doi/full/10.1108/JD-09-2017-0134.
2Thomer, A.K. ; Wickett, K.M. ; Baker, K.S. ; Fouke, B.W. ; Palmer, C.L.: Documenting provenance in noncomputational workflows : research process models based on geobiology fieldwork in Yellowstone National Park.
In: Journal of the Association for Information Science and Technology. 69(2018) no.10, S.1234-1245.
Abstract: A comprehensive record of research data provenance is essential for the successful curation, management, and reuse of data over time. However, creating such detailed metadata can be onerous, and there are few structured methods for doing so. In this case study of data curation in support of geobiology research conducted at Yellowstone National Park, we describe a method of "Research Process Modeling" for documenting noncomputational data provenance in a structured yet flexible way. The method combines systems analysis techniques to model research activities, the World Wide Web Consortium Provenance (PROV) ontology to illustrate relationships between data products, and simple inventory methods to account for research processes and data products. It also supports collaborative data curation between information professionals and researchers, and is therefore a significant step toward producing more useable and interpretable research data. We demonstrate how this method describes data provenance more robustly than "flat" metadata alone and fills a critical gap in the documentation of provenance for field-based and noncomputational workflows. We discuss potential applications of this approach to other research domains.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24039.
3Renear, A.H. ; Wickett, K.M. ; Urban, R.J. ; Dubin, D. ; Shreeves, S.L.: Collection/item metadata relationships.
In: 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. Göttingen : Univ.-Verl., 2008. S.80-89.
Abstract: Contemporary retrieval systems, which search across collections, usually ignore collection-level metadata. Alternative approaches, exploiting collection-level information, will require an understanding of the various kinds of relationships that can obtain between collection-level and item-level metadata. This paper outlines the problem and describes a project that is developing a logic-based framework for classifying collection/item metadata relationships. This framework will support (i) metadata specification developers defining metadata elements, (ii) metadata creators describing objects, and (iii) system designers implementing systems that take advantage of collection-level metadata. We present three examples of collection/item metadata relationship categories, attribute/value-propagation, value-propagation, and value-constraint and show that even in these simple cases a precise formulation requires modal notions in addition to first-order logic. These formulations are related to recent work in information retrieval and ontology evaluation.
Inhalt: Vgl. unter: http://dcpapers.dublincore.org/ojs/pubs/article/view/921/917.
Themenfeld: Metadaten ; Wissensrepräsentation
Objekt: Dublin Core