Search (10 results, page 1 of 1)

  • × author_ss:"Zins, C."
  • × year_i:[2000 TO 2010}
  1. Zins, C.: Knowledge map of information science : issues, principles, implications (2006) 0.03
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    Abstract
    The study, "Knowledge Map of Information Science: Issues, Principles, Implications", explores the theoretical foundations of information science. It maps the conceptual approaches for defining "data", "information", and "knowledge", maps the major conceptions of Information Science, portrays the profile of contemporary Information Science by documenting 28 classification schemes compiled by leading scholars during the study, and culminates in developing a systematic and scientifically based knowledge map of the field, one grounded on a solid theoretical basis. The study was supported by a research grant from the Israel Science Foundation (2003-2005). The scientific methodology is Critical Delphi. The international panel was composed of 57 leading scholars from 16 countries who represent nearly all the major sub-fields and important aspects of the field.
    Series
    Advances in knowledge organization; vol.10
    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  2. Zins, C.: Models for classifying Internet resources (2002) 0.02
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    Abstract
    Designing systematic access to Internet resources is a major item an the agenda of researchers and practitioners in the field of information science, and is the focus of this study. A critical analysis of classification schemes used in major portals and Web classified directories exposes inconsistencies in the way they classify Internet resources. The inconsistencies indicate that the developers fall to differentiate the various classificatory models, and are unaware of their different rationales. The study establishes eight classificatory models for resources available to Internet users. Internet resources can be classified by subjects, objects, applications, users, locations, reference sources, media, and languages. The first five models are contentrelated; namely they characterize the content of the resource. The other three models are formst-related; namely they characterize the format of the resource or its technological infrastructure. The study identifies and formulates the eight classificatory models, analyzes their rationales, and discusses alternative ways to combine them in a faceted integrated classification scheme.
    Source
    Knowledge organization. 29(2002) no.1, S.20-28
  3. Zins, C.: Knowledge organization : an epistemological perspective (2004) 0.01
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    Abstract
    This philosophical essay explores the epistemological foundations of knowledge organization and discusses implications for classification research. The study defines the concept of "knowledge," distinguishes between subjective knowledge (i.e., knowledge as a thought in the individual's mind) and objective knowledge (i.e., knowledge as an independent object), establishes the necessity of knowledge organization in the construction of knowledge and its key role in the creation, learning, and dissemination of knowledge, and concludes with implications for the development of classification schemes and knowledge maps.
    Source
    Knowledge organization. 31(2004) no.1, S.49-54
  4. Zins, C.: Redefining information science : from "information science" to "knowledge science" (2006) 0.01
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    Abstract
    Purpose - This philosophical essay aims to explore the concept of information science. Design/methodology/approach - The philosophical argumentation is composed of five phases. It is based on clarifying the meanings of its basic concept "data", "information" and "knowledge". Findings - The study suggests that the name of the field "information science" should be changed to "knowledge science". Originality/value - The paper offers reflections on the explored phenomena of information science.
    Theme
    Information
  5. Zins, C.: Conceptions of information science (2007) 0.01
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    Abstract
    The field of information science is constantly changing. Therefore, information scientists are required to regularly review-and if necessary-redefine its fundamental building blocks. This article is one of four articles that documents the results of the Critical Delphi study conducted in 2003-2005. The study, "Knowledge Map of Information Science," was aimed at exploring the foundations of information science. The international panel was composed of 57 leading scholars from 16 countries who represent nearly all the major subfields and important aspects of the field. In this study, the author documents 50 definitions of information science, maps the major theoretical issues relevant to the formulation of a systematic conception, formulates six different conceptions of the field, and discusses their implications.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.3, S.335-350
    Theme
    Information
  6. Zins, C.: Conceptual approaches for defining data, information, and knowledge (2007) 0.01
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    Abstract
    The field of Information Science is constantly changing. Therefore, information scientists are required to regularly review-and if necessary-redefine its fundamental building blocks. This article is one of a group of four articles, which resulted from a Critical Delphi study conducted in 2003-2005. The study, "Knowledge Map of Information Science," was aimed at exploring the foundations of information science. The international panel was composed of 57 leading scholars from 16 countries, who represent (almost) all the major subfields and important aspects of the field. This particular article documents 130 definitions of data, information, and knowledge formulated by 45 scholars, and maps the major conceptual approaches for defining these three key concepts.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.4, S.479-493
    Theme
    Information
  7. Zins, C.: Classification schemes of information science : twenty-eight scholars map the field (2007) 0.01
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    Abstract
    The field of Information Science is constantly changing. Therefore, information scientists are required to regularly review-and if necessary-redefine its fundamental building blocks. This article is one of a group of four articles, which resulted from a Critical Delphi study conducted in 2003-2005. The study, "Knowledge Map of Information Science," was aimed at exploring the foundations of information science. The international panel was composed of 57 leading scholars from 16 countries who represent nearly all the major subfields and important aspects of the field. This particular article documents 28 classification schemes of Information Science that were compiled by leading scholars in the academic community. This unique collection of 28 classification schemes portrays and documents the profile of contemporary Information Science at the beginning of the 21st century.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.645-672
  8. Zins, C.: Knowledge map of information science (2007) 0.01
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    Abstract
    This article is part of a group of four articles that resulted from a Critical Delphi study conducted in 2003-2005. The study, "Knowledge Map of Information Science," was aimed at exploring the foundations of information science. The international panel was composed of 57 leading scholars from 16 countries who represent nearly all the major subfields and important aspects of the field. This article presents a systematic and comprehensive knowledge map of the field, and is grounded on the panel discussions. The map has 10 basic categories: (1) Foundations, (2) Resources, (3) Knowledge Workers, (4) Contents, (5) Applications, (6) Operations and Processes, (7) Technologies, (8) Environments, (9) Organizations, and (10) Users. The model establishes the groundwork for formulating theories of information science, as well as developing and evaluating information science academic programs and bibliographic resources.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.4, S.526-535
  9. Zins, C.; Guttman, D.: Domain analysis of social work : an example of an integrated methodological approach (2003) 0.01
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    Abstract
    This study exemplifies an integrated methodological approach to domain analysis. The study analyzes the field of Social work. It is aimed at developing a systematic, comprehensive, and scientifically valid knowledge map, and its applicability as an efficient tool to adequately represent knowledge in the field. The map is composed of seven parts: foundation (meta-knowledge), Social worker, environment, organization, area of practice, method, and client. The study followed a qualitative fourphase research methodology. The first phase was a phenomenological analysis of the basic characteristics of Social work as a Social service. The analysis resulted in a sevenfacet subject classification. In the second phase the conceptual skeleton was elaborated, and adjusted to the field of Social work by a grounded-theory methodology. The data used for grounding the model were 14 Social work resources. The model was tested in the third phase by classifying 200 terms randomly selected from the Dictionary of Social Work (Barleer, 1999). Finally, in the fourth phase we classified 197 papers published in two leading journals, Social Work and Social Service Review, in three successive years, 1997, 1998, and 1999. This exemplary study has implications for domain analysis. The paper discusses these implications.
    Source
    Knowledge organization. 30(2003) nos.3/4, S.196-212
  10. Zins, C.; Guttmann, D.: Structuring Web bibliographic resources : an exemplary subject classification scheme (2000) 0.01
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    Source
    Knowledge organization. 27(2000) no.3, S.143-159