Search (21 results, page 1 of 2)

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Abstract

Studying works allows us to see empirically the problem of instantiation of works, both at large and in the catalog. The linkage of relationships among works is a critical goal for information retrieval because the ability to comprehend and select a specific instantiation of a work is crucial for the advancement of scholarship. Hence, the present study examines the instantiation of works among a set of entities known to be popular-best selling books of the 20th century. A sample of best selling works (fiction and non-fiction) from 1900-1999 was constructed. For each work in the sample, all bibliographic records were identified in both OCLC and RLIN as well as instantiations on the World Wide Web. All but one work in the sample exists in multiple instantiations; many have large networks; and complex networks of instantiations have begun to appear in full text on the Web. The results of this study demonstrate the importance of continuing to gather statistical data about works. Solutions devised for the catalog will need to be modified for use in the chaotic environment of the World Wide Web and its successors.

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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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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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Series

Communications in computer and information science; 478

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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

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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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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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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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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Abstract

Explicit authority control of works is essentially non-existent. Our catalogs are built on a principle of controlling headings, and primarily headings for names of authors. Our syndetic structure creates a spider's web of networked relationships among forms of headings, but it ends there, despite the potential richness of depth among bibliographic entities. Effective authority control of works could yield richness in the catalog that would enhance retrieval capabilities. Works are considered to constitute the intellectual content of informative artifacts that may be collected and ordered for retrieval. In a 1992 study the author examined a random sample of works drawn from the catalog of the Georgetown University Library. For each progenitor work, an instantiation network (also referred to as a bibliographic family) was constituted. A detailed analysis of the linkages that would be required for authority control of these networks is reviewed here. A new study is also presented, in which Library of Congress authority records for the works in this sample are sought and analyzed. Results demonstrate a near total lack of control, with only 5.6% of works for which authority records were found. From a sample of 410 works, of which nearly half have instantiation networks, only 23 works could be said to have implicit authority control. However, many instantiation networks are made up of successive derivations that can be implicitly linked through collocation. The difficult work of explicitly linking instantiations comes with title changes, translations, and containing relations. The empirical evidence in the present study suggests that explicit control of expressions will provide the best control over instantiation networks because it is instantiations such as translations, abridgments, and adaptations that require explicit linking.

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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

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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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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22. 2.2013 11:43:34

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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