Search (13 results, page 1 of 1)

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Abstract

Purpose - The purpose of the research reported here is to improve comprehension of the socially-negotiated identity of concepts in the domain of knowledge organization. Because knowledge organization as a domain has as its focus the order of concepts, both from a theoretical perspective and from an applied perspective, it is important to understand how the domain itself understands the meaning of a concept. Design/methodology/approach - The paper provides an empirical demonstration of how the domain itself understands the meaning of a concept. The paper employs content analysis to demonstrate the ways in which concepts are portrayed in KO concept maps as signs, and they are subjected to evaluative semiotic analysis as a way to understand their meaning. The frame was the entire population of formal proceedings in knowledge organization - all proceedings of the International Society for Knowledge Organization's international conferences (1990-2010) and those of the annual classification workshops of the Special Interest Group for Classification Research of the American Society for Information Science and Technology (SIG/CR). Findings - A total of 344 concept maps were analyzed. There was no discernible chronological pattern. Most concept maps were created by authors who were professors from the USA, Germany, France, or Canada. Roughly half were judged to contain semiotic content. Peirceian semiotics predominated, and tended to convey greater granularity and complexity in conceptual terminology. Nodes could be identified as anchors of conceptual clusters in the domain; the arcs were identifiable as verbal relationship indicators. Saussurian concept maps were more applied than theoretical; Peirceian concept maps had more theoretical content. Originality/value - The paper demonstrates important empirical evidence about the coherence of the domain of knowledge organization. Core values are conveyed across time through the concept maps in this population of conference papers.

Content

Vgl. auch den Beitrag: Treude, L.: Das Problem der Konzeptdefinition in der Wissensorganisation: über einen missglückten Versuch der Klärung. In: LIBREAS: Library ideas. no.22, 2013, S.xx-xx.

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Abstract

Domain analysis helps visualize the semantic intellectual content of a coherent group, or domain. A domain is a group with an ontological base, an underlying teleology, common hypotheses and epistemology, and social semantics. FRBR has spawned a family of conceptual models and much writing. A recent second anthology about the FRBR models raises the question of whether a coherent domain has formed around the FRBR family. Domain analysis is used here to visualize the semantic content of the FRBR family domain and to compare its two main component groups, scholar authors and practitioner authors. Results show a common teleology with some subtle differences surrounding implementation of the FRBR family of models.

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Abstract

Knowledge organization structures are dependent upon domain-analytical processes for determining ontological imperatives. Boundary objects-terms used in multiple domains but understood differently in each-are ontological clash points. Cognitive Work Analysis is an effective qualitative methodology for domain analysis of a group of people who work together. CWA was used recently to understand the ontology of a human resources firm. Boundary objects from the taxonomy that emerged from narrative analysis are presented here for individual analysis.

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Abstract

A very important extension of the traditional domain of knowledge organization (KO) arises from attempts to incorporate techniques devised in the computer science domain for automatic concept extraction and for grouping, categorizing, clustering and otherwise organizing knowledge using mechanical means. Four specific terms have emerged to identify the most prevalent techniques: machine learning, clustering, automatic indexing, and automatic classification. Our study presents three domain analytical case analyses in search of answers. The first case relies on citations located using the ISKO-supported "Knowledge Organization Bibliography." The second case relies on works in both Web of Science and SCOPUS. Case three applies co-word analysis and citation analysis to the contents of the papers in the present special issue. We observe scholars involved in "clustering" and "automatic classification" who share common thematic emphases. But we have found no coherence, no common activity and no social semantics. We have not found a research front, or a common teleology within the KO domain. We also have found a lively group of authors who have succeeded in submitting papers to this special issue, and their work quite interestingly aligns with the case studies we report. There is an emphasis on KO for information retrieval; there is much work on clustering (which involves conceptual points within texts) and automatic classification (which involves semantic groupings at the meta-document level).

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Abstract

The Elements of Knowledge Organization is a unique and original work introducing the fundamental concepts related to the field of Knowledge Organization (KO). There is no other book like it currently available. The author begins the book with a comprehensive discussion of "knowledge" and its associated theories. He then presents a thorough discussion of the philosophical underpinnings of knowledge organization. The author walks the reader through the Knowledge Organization domain expanding the core topics of ontologies, taxonomies, classification, metadata, thesauri and domain analysis. The author also presents the compelling challenges associated with the organization of knowledge. This is the first book focused on the concepts and theories associated with KO domain. Prior to this book, individuals wishing to study Knowledge Organization in its broadest sense would generally collocate their own resources, navigating the various methods and models and perhaps inadvertently excluding relevant materials. This text cohesively links key and related KO material and provides a deeper understanding of the domain in its broadest sense and with enough detail to truly investigate its many facets. This book will be useful to both graduate and undergraduate students in the computer science and information science domains both as a text and as a reference book. It will also be valuable to researchers and practitioners in the industry who are working on website development, database administration, data mining, data warehousing and data for search engines. The book is also beneficial to anyone interested in the concepts and theories associated with the organization of knowledge. Dr. Richard P. Smiraglia is a world-renowned author who is well published in the Knowledge Organization domain. Dr. Smiraglia is editor-in-chief of the journal Knowledge Organization, published by Ergon-Verlag of Würzburg. He is a professor and member of the Information Organization Research Group at the School of Information Studies at University of Wisconsin Milwaukee.

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Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Date

10. 9.2000 17:38:22

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Date

22. 2.2013 11:09:49

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Date

22. 2.2013 11:43:34

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Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Content

"Actions have consequences, and this is certainly true of knowledge organization. One reason our colleague Birger Hjoerland (1998) urges epistemological analysis for the problems of information science is that resources might well serve many different purposes for different users, and thus different user groups might have different epistemological relationships with resources. There is a difference between consulting a dictionary for a definition, reading a text for comprehension to increase your knowledge base, reading for pleasure (which, evidently boosts certain endorphins), and synthesizing a scientific report to generate an hypothesis, just to generate a few scenarios. The only commonality in that list is the consultation of a resource. In each case the purpose dictates the activity and is reliant upon a different epistemological aim. No online source of facts is going to suffice if I want something to read that will give me pleasure; no catalog of fine literature is sufficient for the extraction of scientific theory. Hjoerland also suggests that the names we give - to documents, to categories, even to activities - embodies the action of naming, and thereby also the action of facilitating or obfuscating the use of named resources (Hjoerland 2003, 98). Terminology cannot be neutral because the very selection of terms as names either provides a pathway to understanding or a barrier to usage, depending on the epistemological perspective of the user group. I won't go looking for Miss Marple in your dictionary if you call it a dictionary, even though it might contain a perfectly fine list of motives for murder. Likewise, as an information scientist I am not likely to look for research anywhere except in a database that purports to contain peer-reviewed scientific literature. Names have power, and the action of naming is powerful too. We in knowledge organization need to be aware that no matter how elegant our science, the actions based on our research have consequences. A model generated empirically might make an excellent explanation of a specific reality, but if it migrates into the structure of a system for knowledge organization it has the power to help or hinder assignment to categories, not to mention retrieval from those categories.

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Date

12. 6.2008 20:18:22