Search (28 results, page 1 of 2)

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Abstract

The 2012 biennial international research conference of the International Society for Knowledge Organization was held August 6-9, in Mysore, India. It was the second international ISKO conference to be held in India (Canada and India are the only countries to have hosted two international ISKO conferences), and for many attendees travel to the exotic Indian subcontinent was a new experience. Interestingly, the mix of people attending was quite different from recent meetings held in Europe or North America. The conference was lively and, as usual, jam-packed with new research. Registration took place on a veranda in the garden of the B. N. Bahadur Institute of Management Sciences where the meetings were held at the University of Mysore. This graceful tree (Figure 1) kept us company and kept watch over our considerations (as indeed it does over the academic enterprise of the Institute). The conference theme was "Categories, Contexts and Relations in Knowledge Organization." The opening and closing sessions fittingly were devoted to serious introspection about the direction of the domain of knowledge organization. This editorial, in line with those following past international conferences, is an attempt to comment on the state of the domain by reflecting domain-analytically on the proceedings of the conference, primarily using bibliometric measures. In general, it seems the domain is secure in its intellectual moorings, as it continues to welcome a broad granular array of shifting research questionsin its intension. It seems that the continual concretizing of the theoretical core of knowledge organization (KO) seems to act as a catalyst for emergent ideas, which can be observed as part of the evolving intension of the domain.

Date

22. 2.2013 11:43:34

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Abstract

A historic development from the mid-20th century has promise for utility in the global organization of knowledge in the 20 century and beyond. Essential concepts of knowledge organization such as the origin of domain- and ecology-specific ontologies are explored, and insight into classification warrant is offered. The Sachs Classification as it now exists and the Worldmark Encyclopedia from which it evolved are described. The continuing evolution of knowledge organizations based an the methodology of the Sachs Classification is demonstrated. Promise for enhanced knowledge management, and for management of electronic resources is demonstrated. The Sachs Classification can be viewed as a methodology for potentially powerful knowledge management through the development of domain- and ecology-specific ontologies, and its methodology is demonstrated as applicable to new and evolving knowledge domains.

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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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Content

3. A New Perspective: Theme and Variations In musicology there is a factual reality that every sound you hear can be reduced to a sort of calculus that expresses its tonal and metrical relationships. Schenkerian analysis (Forte and Gilbert 1982) is one approach to this. In the end it reveals a singular truth, which is that music (like information) is essentially an ordered accretion of energy. The beauty of this type of analysis is what it reveals when large quantities of music are analyzed-it reveals sets of similarities that might never have been noticed otherwise. The music information retrieval domain has built its technology and its science along these lines. So where does this leave knowledge organization? In the semantic Web and the magical kingdoms that will follow it, it will be necessary to make samenessdifference decisions of a different sort, to provide the ability to make heretofore unimaginable connections. Elsewhere I have asked when a funeral urn is like a ship's log: the answer is when the instantiation set has the same calculus in its scope, which tells us that the two artifacts have approximately equal impact factors along some cultural or social trajectory. These are the sorts of questions knowledge organization can be able to answer if we can move toward a large base of empirical evidence to which similarity measures can be applied and from which new hypotheses can be drawn to direct investigation. Why have these questions not yet been answered? Because they have not yet been posed."

Date

12. 6.2008 20:18:22

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Abstract

What exactly is "knowledge organization?" It turns out there are many different definitions and not all scholars within the domain agree. The Consulting Editors of this journal have asked the ISKO Scientific Advisory Council to consider a concise definition of knowledge organization, and especially to consider its relationship with the more recently evolved term, "knowledge management," as well. The debate will likely be lengthy; I invite readers to watch these pages for developments as they become available. Of course, ISKO members have a common sensibility about the meaning of knowledge organization. Our Society's organizing charter says that "it is the aim of the Society to promote research, development and application of all methods for the organization of knowledge in general or of particular fields by integrating especially the conceptual approaches of classification research and artificial intelligence." The charter also specifies that "The Society stresses philosophicological, psychological and semantic approaches for a conceptual order of objects." Our journal's statement of scope and aims suggests we are interested in "questions of the adequate structuring and construction of ordering systems and on the problems of their use." Our aim as a journal is to provide "a forum for all those interested in the organization of knowledge on a universal or domain-specific scale, using concept-analytical or concept-synthetical approaches, as well as quantitative and qualitative methodologies." What we can gather from these statements is that the core of our domain is the ordering of what is known, that that ordering might be accomplished in various ways but that concepts are critical lynchpins, and that a wide variety of scientific approaches fall within our embrace. Still, as all scholars know, a definition of a tern may not include the term being defined; ergo, we cannot define knowledge organization as the organization of knowledge [!] - consequently we have charged ISKO to consider whether The Society can provide core definitions.

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Abstract

At the last Digital Library Conference in London two workshops took place - both (in parallel) devoted to the use of visualization in presenting and navigating large collections. One was entitled Search Is Over! and of the other Knowledge Maps and Information Retrieval. This anecdotal evidence stands for the growing and accelerating quest for visually enhanced interfaces to collections. Researchers from information visualization, computer human interaction, information retrieval, bibliometrics, digital humanities, art and network theory in parallel, often also in ignorance of each other, sometimes in interdisciplinary alliances are engaged in this quest. This paper reviews the current state-of-the-art, with special emphasis on the work of the COST Action TD1210 Knowescape. We discuss in more depth two examples of the use of visual analytics to create a fingerprint of an archive or a library, a data archive and a national library. We present examples from the micro-level of monitoring activities of users, over the meso-level to visualize features of bibliographic records, to macroscopes (a term coined by Katy Borner) into libraries and archives. We also discuss how different ways to perform visual analytics inform each other, how they are related to questions of data mining and statistical analysis, and which methods need to be combined or which communities need to collaborate. To illustrate some of these points we analysed Universal Decimal Classification (UDC) codes in bibliographic datasets of the National Library of Portugal. This is a potential still awaiting to be fully exploited in improving interfaces to subject access and management of classification data. It should be noted that UDC notation strings stored in bibliographic databases require specialist knowledge in both UDC and programming for any visualization tools to be applied. This UDC Seminar which is devoted to authority control is an opportunity to draw attention to the possibilities in visualization whose wider application depends on the readily structured, richer and more transparent subject metadata.

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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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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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Abstract

Knowledge Organization Systems (KOSs) use arrays of related concepts to capture the ontological content of a domain; hierarchical structures are typical of such systems. Some KOSs also employ sets of crossconceptual descriptors that express different dimensions within a domain-facets. The recent increase in the prominence of facets and faceted systems has had major impact on the intension of the KO domain and this is visible in the domain's literature. An interesting question is how the discourse surrounding facets in KO and in related domains such as information science might be described. The present paper reports one case study in an ongoing research project to investigate the discourse of facets in KO. In this particular case, the formal current research literature represented by inclusion in the "Library, Information Science & Technology Abstracts, Full Text" (LISTA) database is analyzed to discover aspects of the research front and its ongoing discourse concerning facets. A datasets of 1682 citations was analyzed. Results show thinking concerning information retrieval and the semantic web resides alongside implementation of faceted searching and the growth of faceted thesauri. Faceted classification remains important to the discourse, but the use of facet analysis is linked directly to applied aspects of information science.

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Series

Proceedings of the American Society for Information Science; vol.36

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

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Abstract

In KO volume 40 number 3 (2013) I included an editorial about keywords-both about the absence prior to that date of designated keywords in articles in Knowledge Organization, and about the misuse of the idea by some other journal publications (Smiraglia 2013). At the time I was chagrined to discover how little correlation there was across the formal indexing of a small set of papers from our journal, and especially to see how little correspondence there was between actual keywords appearing in the published texts, and any of the indexing supplied by either Web of Science or LISTA (Thomson Reuters' Web of ScienceT (WoS) and EBSCOHost's Library and Information Science and Technology Abstracts with Full Text (LISTA). The idea of a keyword arose in the early days of automated indexing, when it was discovered that using terms that actually occurred in full texts (or, in the earliest days, in titles and abstracts) as search "keys," usually in Boolean combinations, provided fairly precise recall in small, contextually confined text corpora. A recent Wikipedia entry (Keywords 2015) embues keywords with properties of structural reasoning, but notes that they are "key" among the most frequently occurring terms in a text corpus. The jury is still out on whether keyword retrieval is better than indexing with subject headings, but in general, keyword searches in large, unstructured text corpora (which is what we have today) are imprecise and result in large recall sets with many irrelevant hits (see the recent analysis by Gross, Taylor and Joudrey (2014). Thus it seems inadvisable to me, as editor, especially of a journal on knowledge organization, to facilitate imprecise indexing of our journal's content.

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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

Research information can be useful to science stake-holders for discovering, evaluating and planning research activities. In the Netherlands, the institute tasked with the stewardship of national research information is DANS (Data Archiving and Networked Services). DANS is the home of NARCIS, the national portal for research information, which uses a similarly named national research classification. The NARCIS Classification assigns symbols to represent the knowledge bases of contributing scholars. A recent research stream in knowledge organization known as comparative classification uses two or more classifications experimentally to generate empirical evidence about coverage of conceptual content, population of the classes, and economy of classification. This paper builds on that research in order to further understand the comparative impact of the NARCIS Classification alongside a classification designed specifically for information resources. Our six cases come from the DANS project Knowledge Organization System Observatory (KOSo), which itself is classified using the Information Coding Classification (ICC) created in 1982 by Ingetraut Dahlberg. ICC is considered to have the merits of universality, faceting, and a top-down approach. Results are exploratory, indicating that both classifications provide fairly precise coverage. The inflexibility of the NARCIS Classification makes it difficult to express complex concepts. The meta-ontological, epistemic stance of the ICC is apparent in all aspects of this study. Using the two together in the DANS KOS Observatory will provide users with both clarity of scientific positioning and ontological relativity.

Footnote

Beitrag eines Special Issue: Research Information Systems and Science Classifications; including papers from "Trajectories for Research: Fathoming the Promise of the NARCIS Classification," 27-28 September 2018, The Hague, The Netherlands.

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Abstract

The referencing habits of scholars, having abandoned physical bibliography for harvesting of digital resources, are in crisis, endangering the bibliographical infrastructure supporting the domain of knowledge organization. Research must be carefully managed and its circumstances controlled. Bibliographical replicability is one important part of the social role of scholarship. References in Knowledge Organization volume 45 (2018) were compiled and analyzed to help visualize the state of referencing in the KO domain. The dependence of science on the ability to replicate is even more critical in a global distributed digital environment. There is great richness in KO that make it even more critical that our scholarly community tend to the relationship between bibliographical verity and the very replicability that is allowing the field to grow theoretically over time.

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Abstract

Discoveries in high energy physics have led to new understanding about the nature of that which exists. We use the metaphor of the particle collider to accumulate components of a theory of knowledge that underlies the science of knowledge organization. We outline the concepts of a knowledge universe, the central role of concepts, and the intertwining roles of works, instantiations and documents. This thought experiment provides a different epistemological reading of "knowledge" by demonstrating a semantics that is based on structure and on related forces between components, rather than on content, so as to enable the development of mechanisms for linking related knowledge entities with so-far undiscovered similarities.

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Series

Communications in computer and information science; 478

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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.