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: 28. April 2022)
1Chen, Y.-N.: ¬An FRBR-based approach for transforming MARC records into linked data.
In: 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. Baden-Baden : Ergon Verlag, 2018. S.565-570.
(Advances in knowledge organization; vol.16)
Objekt: FRBR ; MARC
2Chen, Y.-N. ; Ke, H.-R.: ¬A study on mental models of taggers and experts for article indexing based on analysis of keyword usage.
In: Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1675-1694.
Abstract: This article explores the mental models of article indexing of taggers and experts in keyword usage. Better understanding of the mental models of taggers and experts and their usage gap may inspire better selection of appropriate keywords for organizing information resources. Using a data set of 3,972 tags from CiteULike and 6,708 descriptors from Library and Information Science Abstracts (LISA) from 1,489 scholarly articles of 13 library and information science journals, social network analysis and frequent-pattern tree methods were used to capture and build up the mental models of article indexing of taggers and experts when using keywords, and to generalize their structures and patterns. When measured with respect to the terms used, a power-law distribution, a comparison of terms used as tags and descriptors, social network analysis (including centrality, overall structure, and role equivalent) and frequent-pattern tree analysis, little similarity was found between the mental models of taggers and experts. Twenty-five patterns of path-based rules and 12 identical rules of frequent-pattern trees were shared by taggers and experts. Title- and topic-related keyword categories were the most popular keyword categories used in path-based rules of frequent-pattern trees, and also the most popular members of 25 patterns and the starting point of the 12 identical rules.
3Chen, Y.-n. ; Chen, S.-j.: ¬A metadata practice of the IFLA FRBR model : a case study for the National Palace Museum in Taipei.
In: Journal of documentation. 60(2004) no.2, S.128-143.
Abstract: In 1998, the Functional Requirements for Bibliographic Records (FRBR) model which is composed of four entities (work, expression, manifestation and item) and their associative relationships (primary, responsibility and subject), was proposed by the International Federation of Library Associations and Institutions (IFLA). The FRBR model can be deployed as a logical framework for proceeding metadata analysis and developing metadata format. This paper presents a case study of the National Palace Museum (NPM) in Taipei to examine the feasibility of the FRBR model. Based on the examination of case study at the NPM, the FRBR model is proven to be a useful and fundamental framework for metadata analysis and implementation. Findings show that the FRBR model is helpful in identifying proper metadata elements organization and their distribution over the FRBR entities. The model is more suitable for media-centric and association-rich contents. However, in order to refine the FRBR model as a common framework for metadata, it would also require supportive mechanisms for management responsibility relationships for the workflow consideration and refine the distinction between work and expression entity.
Anmerkung: Vgl. auch unter: http://www.emeraldinsight.com/10.1108/00220410410522025