Search (13 results, page 1 of 1)

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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

The Fifteenth International ISKO Conference (ISKO 15) took place in Porto, Portugal in early July 2018 at the Faculty of Arts and Humanities of the University of Porto, Department of Communication and Information Sciences. The main theme was "challenges and opportunities for knowledge organization in the digital age;" three sub-themes were: foundations and methods, interoperability and societal challenges. A feature of the conference was a special session devoted to the memory of ISKO founder Ingetraut Dahlberg. The proceedings contain 105 formal research papers as well as abstracts for fourteen posters and two workshops. Informetric analyses produce a characteristic picture for an international ISKO conference, with core concepts of KO and KOSs embracing digital age concepts of social media and the semantic web alongside new library conceptual data models. On ISKO 15's bookshelf were articles by Hjørland, Dahlberg, Tennis and Beghtol, and books by Ranganathan and Szostak, Gnoli and López-Huertas. But also books by Adler, García Gutiérrez, Holland and Verborgh and FRBR/LRM were present as were articles by Adler, Kleineberg and Gruber. Core ISKO is joined on this bookshelf by new articles from the ISKO Encyclopedia, by works pointing toward ethical approaches to KO, and by works pointing toward KO for a semantic web-challenges and opportunities for KO, as the conference theme indicated.

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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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Abstract

Contrasts in 20th century classification theory relate to a transition from a universe of "knowledge" system towards one of "concepts' Initiatives to develop a Simple Knowledge Organization Systems (SKOS) standard based on classification schemes and taxonomies within the framework of the Semantic Web (SW) are attempts to bridge the gap. Current knowledge organization systems (KOS) seem to reinforce "syntactics" at the expense of semantics. We claim that all structure is syntactic but knowledge structures need to have a semantic component as well. Therefore we consider classifications as artificial languages. The Universal Decimal Classification (UDC) constitutes a natural language-independent notation system that allows for mediating between concepts and knowledge systems. We discuss an elementary theory of knowledge organization based on the structure of knowledge rather than on the content of documents. Semantics becomes not a matter of synonymous concepts, but rather of coordinating knowledge structures. The interactions between these systems represent interactions between different universes of knowledge or concepts.

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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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Abstract

Classification systems are often described as stable reference systems. Sometimes they are accused of being inflexible concerning the coverage of new ideas and scientific fields. Classification as an activity is the basis of all theory-generating research, and also plays a powerful role in social ordering. It is obvious that the ways in which we seek information and in which information is provided has changed dramatically since the emergence of digital information processing and even more with the internet, and web-based technologies. The purpose of this paper is to illustrate the notion of a stable knowledge organization classification as a temporary stationary manifestation of an open and evolving system of classification. We compare the structure of the main classes in the Universal Decimal Classification (UDC) according to their usage of special auxiliaries to demonstrate the dynamic evolution of the UDC over time, as a stable reference system representing published organized knowledge. We view the ecology of the UDC, and discover that most changes are to the ecology itself as numbers are re-interpreted. This subtle type of change is a key to monitoring the evolution of knowledge as it is represented in the UDC's stable reference system.

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Abstract

Recently I was asked in earnest why KO doesn't have keywords. To which my reply was to LOL. Really-I laughed, out loud, and then I said "but it does, in every line!" I decided to undertake a little editorial experiment by using the contents of the last two issues of Knowledge Organization - Volume 40 (2013) number 1 contained an editorial, 4 peer-reviewed articles, a book review, a classification issues report, and two substantive letters to the editor. Volume 40 (2013) number 2 contained 5 peer-reviewed articles, some ISKO news, and a bibliographic essay book review; unfortunately at the time this was written number 2 had not been indexed by either service. I decided to compare keywords drawn from Thompson Reuters' Web of ScienceT and EBSCOHost's Library and Information Science and Technology Abstracts with Full Text (LISTA) to the actual keywords pulled from the texts. Full texts were uploaded to Voyeur from Hermeneutica.ca -The Rhetoric of Text Analysis (http://hermeneuti.ca/voyeur/) to derive most frequently used terms (applying an English language stoplist). Table 1 contains those comparative results.

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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

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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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.