Search (27 results, page 1 of 2)

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Abstract

Logic and the Organization of Information closely examines the historical and contemporary methodologies used to catalogue information objects-books, ebooks, journals, articles, web pages, images, emails, podcasts and more-in the digital era. This book provides an in-depth technical background for digital librarianship, and covers a broad range of theoretical and practical topics including: classification theory, topic annotation, automatic clustering, generalized synonymy and concept indexing, distributed libraries, semantic web ontologies and Simple Knowledge Organization System (SKOS). It also analyzes the challenges facing today's information architects, and outlines a series of techniques for overcoming them. Logic and the Organization of Information is intended for practitioners and professionals working at a design level as a reference book for digital librarianship. Advanced-level students, researchers and academics studying information science, library science, digital libraries and computer science will also find this book invaluable.

Footnote

Rez. in: J. Doc. 70(2014) no.4: "Books on the organization of information and knowledge, aimed at a library/information audience, tend to fall into two clear categories. Most are practical and pragmatic, explaining the "how" as much or more than the "why". Some are theoretical, in part or in whole, showing how the practice of classification, indexing, resource description and the like relates to philosophy, logic, and other foundational bases; the books by Langridge (1992) and by Svenonious (2000) are well-known examples this latter kind. To this category certainly belongs a recent book by Martin Frické (2012). The author takes the reader for an extended tour through a variety of aspects of information organization, including classification and taxonomy, alphabetical vocabularies and indexing, cataloguing and FRBR, and aspects of the semantic web. The emphasis throughout is on showing how practice is, or should be, underpinned by formal structures; there is a particular emphasis on first order predicate calculus. The advantages of a greater, and more explicit, use of symbolic logic is a recurring theme of the book. There is a particularly commendable historical dimension, often omitted in texts on this subject. It cannot be said that this book is entirely an easy read, although it is well written with a helpful index, and its arguments are generally well supported by clear and relevant examples. It is thorough and detailed, but thereby seems better geared to the needs of advanced students and researchers than to the practitioners who are suggested as a main market. For graduate students in library/information science and related disciplines, in particular, this will be a valuable resource. I would place it alongside Svenonious' book as the best insight into the theoretical "why" of information organization. It has evoked a good deal of interest, including a set of essay commentaries in Journal of Information Science (Gilchrist et al., 2013). Introducing these, Alan Gilchrist rightly says that Frické deserves a salute for making explicit the fundamental relationship between the ancient discipline of logic and modern information organization. If information science is to continue to develop, and make a contribution to the organization of the information environments of the future, then this book sets the groundwork for the kind of studies which will be needed." (D. Bawden)

LCSH

Information Systems
Information storage and retrieval systems

Subject

Information Systems
Information storage and retrieval systems

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Abstract

Classification and the organization of information are directly connected to issues surrounding social justice, diversity, and inclusion. This paper is written from the standpoint that political and epistemological aspects of knowledge organization are fundamental to research and practice and suggests ways to integrate social justice and diversity issues into courses on the organization of information.

Content

Beitrag in einem Themenheft: 'Race and Ethnicity in Library and Information Science: An Update'.

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Source

Theorie, Semantik und Organisation von Wissen: Proceedings der 13. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und dem 13. Internationalen Symposium der Informationswissenschaft der Higher Education Association for Information Science (HI) Potsdam (19.-20.03.2013): 'Theory, Information and Organization of Knowledge' / Proceedings der 14. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und Natural Language & Information Systems (NLDB) Passau (16.06.2015): 'Lexical Resources for Knowledge Organization' / Proceedings des Workshops der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) auf der SEMANTICS Leipzig (1.09.2014): 'Knowledge Organization and Semantic Web' / Proceedings des Workshops der Polnischen und Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) Cottbus (29.-30.09.2011): 'Economics of Knowledge Production and Organization'. Hrsg. von W. Babik, H.P. Ohly u. K. Weber

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Abstract

Any classification system should be evaluated with respect to a variety of philosophical and practical concerns. This paper explores several distinct issues: the nature of a work, the value of a statement, the contribution of information science to philosophy, the nature of hierarchy, ethical evaluation, pre- versus postcoordination, the lived experience of librarians, and formalization versus natural language. It evaluates a particular approach to classification in terms of each of these but draws general lessons for philosophical evaluation. That approach to classification emphasizes the free combination of basic concepts representing both real things in the world and the relationships among these; works are also classified in terms of theories, methods, and perspectives applied.

Content

Beitrag in einem Themenheft: 'Exploring Philosophies of Information'.

Theme

Information

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Abstract

This article introduces the problem of collocative integrity present in long-lived classification schemes that undergo several changes. A case study of the subject "eugenics" in the Dewey Decimal Classification is presented to illustrate this phenomenon. Eugenics is strange because of the kinds of changes it undergoes. The article closes with a discussion of subject ontogeny as the name for this phenomenon and describes implications for information searching and browsing.

Source

Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1350-1359

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Abstract

Argues that Beghtol's (2003) use of the terms "naive classification" and "professional classification" is valid because they are nominal definitions and that the distinction between these two types of classification points up the need for researchers in knowledge organization to broaden their scope beyond traditional classification systems intended for information retrieval. Argues that work by Beghtol (2003), Kwasnik (1999) and Bailey (1994) offer direction for the development of a classification of classifications based on the pragmatic dimensions of extant classification systems. Bezugnahme auf: Beghtol, C.: Naïve classification systems and the global information society. In: Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine. Würzburg: Ergon Verlag 2004. S.19-22. (Advances in knowledge organization; vol.9)

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Abstract

Purpose - The purpose of this paper is to introduce a new similarity method to gauge the differences between two subject hierarchical structures. Design/methodology/approach - In the proposed similarity measure, nodes on two hierarchical structures are projected onto a two-dimensional space, respectively, and both structural similarity and subject similarity of nodes are considered in the similarity between the two hierarchical structures. The extent to which the structural similarity impacts on the similarity can be controlled by adjusting a parameter. An experiment was conducted to evaluate soundness of the measure. Eight experts whose research interests were information retrieval and information organization participated in the study. Results from the new measure were compared with results from the experts. Findings - The evaluation shows strong correlations between the results from the new method and the results from the experts. It suggests that the similarity method achieved satisfactory results. Practical implications - Hierarchical structures that are found in subject directories, taxonomies, classification systems, and other classificatory structures play an extremely important role in information organization and information representation. Measuring the similarity between two subject hierarchical structures allows an accurate overarching understanding of the degree to which the two hierarchical structures are similar. Originality/value - Both structural similarity and subject similarity of nodes were considered in the proposed similarity method, and the extent to which the structural similarity impacts on the similarity can be adjusted. In addition, a new evaluation method for a hierarchical structure similarity was presented.

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Abstract

Bibliographic classification is among the core activities of Library & Information Science that brings order and proper management to the holdings of a library. Compared to printed media, digital collections present numerous challenges regarding their preservation, curation, organization and resource discovery & access. Therefore, true native perspective is needed to be adopted for bibliographic classification in digital environments. In this research article, we have investigated and reported different approaches to bibliographic classification of digital collections. The article also contributes two evaluation frameworks that evaluate the existing classification schemes and systems. The article presents a bird's-eye view for researchers in reaching a generalized and holistic approach towards bibliographic classification research, where new research avenues have been identified.

Source

Information Technology and Libraries. 36(2017) no.3, S.48-77

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Abstract

Previously, the main problem of information extraction was to gather enough data. Today, the challenge is not to collect data but to interpret and represent them in order to deduce information. Ontologies are considered suitable solutions for organizing information. The classic methods for ontology construction from textual documents rely on natural language analysis and are generally based on statistical or linguistic approaches. However, these approaches do not consider the document structure which provides additional knowledge. In fact, the structural organization of documents also conveys meaning. In this context, new approaches focus on document structure analysis to extract knowledge. This paper describes a methodology for ontology construction from web data and especially from Wikipedia articles. It focuses mainly on document structure in order to extract the main concepts and their relations. The proposed methods extract not only taxonomic and non-taxonomic relations but also give the labels describing non-taxonomic relations. The extraction of non-taxonomic relations is established by analyzing the titles hierarchy in each document. A pattern matching is also applied in order to extract known semantic relations. We propose also to apply a refinement to the extracted relations in order to keep only those that are relevant. The refinement process is performed by applying the transitive property, checking the nature of the relations and analyzing taxonomic relations having inverted arguments. Experiments have been performed on French Wikipedia articles related to the medical field. Ontology evaluation is performed by comparing it to gold standards.

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Abstract

In the library and information sciences, classification theories are used primarily for knowledge organization, either in a manual or in a machine environment. In this context, classification theories have usually been developed initially as a support for specific knowledge organization classification systems, although the theories and the systems have influenced and re-influenced each other in particular ways throughout their lives. This entry discusses theories for knowledge organization classifications using examples from a number of classification systems, but no one system is discussed at length. Instead, the entry is organized into sections that deal first with classificatory issues in general and then with theories of content, theories of structure, and theories of notation for knowledge organization classifications.

Source

Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates

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Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira

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Source

Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira

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Abstract

Purpose - Classification is an important process in making sense of the world, and has a pronounced social dimension. This paper aims to compare folksonomy, a new social classification system currently being developed on the web, with conventional taxonomy in the light of theoretical sociological and anthropological approaches. The co-existence of these two types of classification system raises the questions: Will and should taxonomies be hybridized with folksonomies? What can each of these systems contribute to information-searching processes, and how can the sociology of knowledge provide an answer to these questions? This paper aims also to address these issues. Design/methodology/approach - This paper is situated at the meeting point of the sociology of knowledge, epistemology and information science and aims at examining systems of classification in the light of both classical theory and current late-modern sociological and anthropological approaches. Findings - Using theoretical approaches current in the sociology of science and knowledge, the paper envisages two divergent possible outcomes. Originality/value - While concentrating on classifications systems, this paper addresses the more general social issue of what we know and how it is known. The concept of hybrid knowledge is suggested in order to illuminate the epistemological basis of late-modern knowledge being constructed by hybridizing contradictory modern knowledge categories, such as the subjective with the objective and the social with the natural. Integrating tree-like taxonomies with folksonomies or, in other words, generating a naturalized structural order of objective relations with social, subjective classification systems, can create a vast range of hybrid knowledge.

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Abstract

This paper identifies and discusses features of the classification of mammals that are relevant to the bibliographic classification of the subject. The tendency of zoological classifications to change, the differing sizes of groups of species, the use zoologists make of groupings other than taxa, and the links in zoology between classification and nomenclature, are identified as key themes the bibliographic classificationist needs to be aware of. The impact of cladistics, a novel classificatory method and philosophy adopted by zoologists in the last few decades, is identified as the defining feature of the current, rather turbulent, state of zoological classification. However because zoologists still employ some non-cladistic classifications, because cladistic classifications are in some way unsuited to optimal information storage and retrieval, and because some of their consequences for zoological classification are as yet unknown, bibliographic classifications cannot be modelled entirely on them.

Content

This paper is based on a thesis of the same title, completed as part of an MA in Library and Information Studies at University College London in 2009, and available at http://62.32.98.6/elibsql2uk_Z10300UK_Documents/Catalogued_PDFs/ Some_issues_in_the_classification_of_zoology.PDF. Thanks are due to Vanda Broughton, who supervised the MA thesis; and to Diane Tough of the Natural History Museum, London and Ann Sylph of the Zoological Society of London, who both provided valuable insights into the classification of zoological literature.

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Abstract

The spread of many new media and formats is changing the scenario faced by knowledge organizers: as printed monographs are not the only standard form of knowledge carrier anymore, the traditional kind of knowledge organization (KO) systems based on academic disciplines is put into question. A sounder foundation can be provided by an analysis of the different dimensions concurring to form the content of any knowledge item-what Brian Vickery described as the steps "from the world to the classifier." The ultimate referents of documents are the phenomena of the real world, that can be ordered by ontology, the study of what exists. Phenomena coexist in subjects with the perspectives by which they are considered, pertaining to epistemology, and with the formal features of knowledge carriers, adding a further, pragmatic layer. All these dimensions can be accounted for in metadata, but are often done so in mixed ways, making indexes less rigorous and interoperable. For example, while facet analysis was originally developed for subject indexing, many "faceted" interfaces today mix subject facets with form facets, and schemes presented as "ontologies" for the "semantic Web" also code for non-semantic information. In bibliographic classifications, phenomena are often confused with the disciplines dealing with them, the latter being assumed to be the most useful starting point, for users will have either one or another perspective. A general citation order of dimensions- phenomena, perspective, carrier-is recommended, helping to concentrate most relevant information at the beginning of headings.

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Content

Beitrag aus einem Themenheft zu den Proceedings of the 2nd Milwaukee Conference on Ethics in Information Organization, June 15-16, 2012, School of Information Studies, University of Wisconsin-Milwaukee. Hope A. Olson, Conference Chair. Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_39_2012_5_i.pdf.

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Abstract

The facet-analytic paradigm is probably the most distinct approach to knowledge organization within Library and Information Science, and in many ways it has dominated what has be termed "modern classification theory". It was mainly developed by S.R. Ranganathan and the British Classification Research Group, but it is mostly based on principles of logical division developed more than two millennia ago. Colon Classification (CC) and Bliss 2 (BC2) are among the most important systems developed on this theoretical basis, but it has also influenced the development of other systems, such as the Dewey Decimal Classification (DDC) and is also applied in many websites. It still has a strong position in the field and it is the most explicit and "pure" theoretical approach to knowledge organization (KO) (but it is not by implication necessarily also the most important one). The strength of this approach is its logical principles and the way it provides structures in knowledge organization systems (KOS). The main weaknesses are (1) its lack of empirical basis and (2) its speculative ordering of knowledge without basis in the development or influence of theories and socio-historical studies. It seems to be based on the problematic assumption that relations between concepts are a priori and not established by the development of models, theories and laws.

Source

Information processing and management. 49(2013) no.2, S.545-557

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Abstract

This is the first part of a study on the classification of phenomena. It starts by addressing the status of classification schemes among knowledge organization systems (KOSs), as some features of them have been overlooked in recent reviews of KOS types. It then considers the different dimensions implied in a KOS, which include: the observed phenomena, the cultural and disciplinary perspective under which they are treated, the features of documents carrying such treatment, the collections of such documents as managed in libraries, archives or museums, the information needs prompting to search and use these collections and the people experiencing such different information needs. Until now, most library classification schemes have given priority to the perspective dimension as they first list disciplines. However, an increasing number of voices are now considering the possibility of classification schemes giving priority to phenomena as advocated in the León Manifesto. Although these schemes first list phenomena as their main classes, they can as well express perspective or the other relevant dimensions that occur in a classified item. The independence of a phenomenon-based classification from the institutional divisions into disciplines contributes to giving knowledge organization a more proactive and influential role.

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Abstract

Purpose - The purpose of this paper is to find a relationship between traditional faceted classification schemes and semantic web document annotators, particularly in the linked data environment. Design/methodology/approach - A consideration of the conceptual ideas behind faceted classification and linked data architecture is made. Analysis of selected web documents is performed using Calais' Semantic Proxy to support the considerations. Findings - Technical language aside, the principles of both approaches are very similar. Modern classification techniques have the potential to automatically generate metadata to drive more precise information recall by including a semantic layer. Originality/value - Linked data have not been explicitly considered in this context before in the published literature.

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Source

Journal of the Association for Information Science and Technology. 65(2014) no.2, S.263-280