Search (72 results, page 1 of 4)

Beghtol, C.: ¬The facet concept as a universal principle of subdivision (2006) 0.01

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Abstract: Facet analysis has been one of the foremost contenders as a design principle for information retrieval classifications, both manual and electronic in the last fifty years. Evidence is presented that the facet concept has a claim to be considered as a method of subdivision that is cognitively available to human beings, regardless of language, culture, or academic discipline. The possibility that faceting is a universal method of subdivision enhances the claim that facet analysis as an unusually useful design principle for information retrieval classifications in any field. This possibility needs further investigation in an age when information access across boundaries is both necessary and possible.
Date: 29. 2.2008 19:19:30

Slavic, A.; Cordeiro, M.I.: Core requirements for automation of analytico-synthetic classifications (2004) 0.01

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Abstract: The paper analyses the importance of data presentation and modelling and its role in improving the management, use and exchange of analytico-synthetic classifications in automated systems. Inefficiencies, in this respect, hinder the automation of classification systems that offer the possibility of building compound index/search terms. The lack of machine readable data expressing the semantics and structure of a classification vocabulary has negative effects on information management and retrieval, thus restricting the potential of both automated systems and classifications themselves. The authors analysed the data representation structure of three general analytico-synthetic classification systems (BC2-Bliss Bibliographic Classification; BSO-Broad System of Ordering; UDC-Universal Decimal Classification) and put forward some core requirements for classification data representation
Date: 29. 8.2004 14:20:40
Theme: Klassifikationssysteme im Online-Retrieval

Beghtol, C.: Naïve classification systems and the global information society (2004) 0.01
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Abstract

Classification is an activity that transcends time and space and that bridges the divisions between different languages and cultures, including the divisions between academic disciplines. Classificatory activity, however, serves different purposes in different situations. Classifications for infonnation retrieval can be called "professional" classifications and classifications in other fields can be called "naïve" classifications because they are developed by people who have no particular interest in classificatory issues. The general purpose of naïve classification systems is to discover new knowledge. In contrast, the general purpose of information retrieval classifications is to classify pre-existing knowledge. Different classificatory purposes may thus inform systems that are intended to span the cultural specifics of the globalized information society. This paper builds an previous research into the purposes and characteristics of naïve classifications. It describes some of the relationships between the purpose and context of a naive classification, the units of analysis used in it, and the theory that the context and the units of analysis imply.

Pages

S.19-22

Gnoli, C.: Naturalism vs pragmatism in knowledge organization (2004) 0.01

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Abstract: Several authors remark that categories used in languages, including indexing ones, are affected by cultural biases, and do not reflect reality in an objective way. Hence knowledge organization would essentially be determined by pragmatic factors. However, human categories are connected with the structure of reality through biological bonds, and this allows for a naturalistic approach too. Naturalism has been adopted by Farradane in proposing relational categories, and by Dahlberg and the CRG in applying the theory of integrative levels to general classification schemes. The latter is especially relevant for possible developments in making the structure of schemes independent from disciplines, and in applying it to digital information retrieval.
Date: 29. 8.2004 17:33:13

Kublik, A.; Clevette, V.; Ward, D.; Olson, H.A.: Adapting dominant classifications to particular contexts (2003) 0.01

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Content: Beitrag eines Themenheftes "Knowledge organization and classification in international information retrieval"
Date: 30. 7.2006 16:38:29

Kwasnik, B.H.: ¬The role of classification in knowledge representation (1999) 0.01

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Source: Library trends. 48(1999) no.1, S.22-47
Theme: Klassifikationssysteme im Online-Retrieval

Slavic, A.: On the nature and typology of documentary classifications and their use in a networked environment (2007) 0.01

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Date: 22.12.2007 17:22:31
Theme: Klassifikationssysteme im Online-Retrieval

Jacob, E.K.: Proposal for a classification of classifications built on Beghtol's distinction between "Naïve Classification" and "Professional Classification" (2010) 0.01

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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)

Shera, J.H.: Pattern, structure, and conceptualization in classification for information retrieval (1957) 0.01

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Source: Proceedings of the International Study Conference on Classification for Information Retrieval, held at Beatrice Webb House, Dorking, England, 13.-17.5.1957

Cordeiro, M.I.; Slavic, A.: Data models for knowledge organization tools : evolution and perspectives (2003) 0.01

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Date: 29. 8.2004 9:26:23
Theme: Internet

McIlwaine, I.C.: ¬A question of place (2004) 0.01

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Abstract: This paper looks at the problems raised by maintaining an Area Table in a general scheme of classification. It examines the tools available to assist in producing a standardized listing and demonstrates how recent developments in the Universal Decimal Classification enable users to have a retrieval tool suitable for use in a networked environment which acts as both a gazetteer and a classification.
Date: 29. 8.2004 14:17:11

Broughton, V.: Faceted classification as a basis for knowledge organization in a digital environment : the Bliss Bibliographic Classification as a model for vocabulary management and the creation of multi-dimensional knowledge structures (2001) 0.01

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Date: 29. 6.2014 17:31:49
Theme: Klassifikationssysteme im Online-Retrieval

Dousa, T.M.: Categories and the architectonics of system in Julius Otto Kaiser's method of systematic indexing (2014) 0.01
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Abstract

Categories, or concepts of high generality representing the most basic kinds of entities in the world, have long been understood to be a fundamental element in the construction of knowledge organization systems (KOSs), particularly faceted ones. Commentators on facet analysis have tended to foreground the role of categories in the structuring of controlled vocabularies and the construction of compound index terms, and the implications of this for subject representation and information retrieval. Less attention has been paid to the variety of ways in which categories can shape the overall architectonic framework of a KOS. This case study explores the range of functions that categories took in structuring various aspects of an early analytico-synthetic KOS, Julius Otto Kaiser's method of Systematic Indexing (SI). Within SI, categories not only functioned as mechanisms to partition an index vocabulary into smaller groupings of terms and as elements in the construction of compound index terms but also served as means of defining the units of indexing, or index items, incorporated into an index; determining the organization of card index files and the articulation of the guide card system serving as a navigational aids thereto; and setting structural constraints to the establishment of cross-references between terms. In all these ways, Kaiser's system of categories contributed to the general systematicity of SI.

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
Zhang, J.; Zeng, M.L.: ¬A new similarity measure for subject hierarchical structures (2014) 0.01
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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.

Date

8. 4.2015 16:22:13

Ranganathan, S.R.: Library classification as a discipline (1957) 0.01

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Source: Proceedings of the International Study Conference on Classification for Information Retrieval, held at Beatrice Webb House,Dorking, England, 13.-17.5.1957

Vickery, B.C.: Structure and function in retrieval languages (1971) 0.01

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Molholt, P.: Qualities of classification schemes for the Information Superhighway (1995) 0.01

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Source: Cataloging and classification quarterly. 21(1995) no.2, S.19-22
Theme: Internet

Hjoerland, B.: Theories of knowledge organization - theories of knowledge (2017) 0.01

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Pages: S.22-36
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

Vickery, B.C.: Relations between subject fields : problems of constructing a general classification (1957) 0.01

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Source: Proceedings of the International Study Conference on Classification for Information Retrieval, held at Beatrice Webb House, Dorking, England, 13.-17.5.1957

Qin, J.: Evolving paradigms of knowledge representation and organization : a comparative study of classification, XML/DTD and ontology (2003) 0.01
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Abstract

The different points of views an knowledge representation and organization from various research communities reflect underlying philosophies and paradigms in these communities. This paper reviews differences and relations in knowledge representation and organization and generalizes four paradigms-integrative and disintegrative pragmatism and integrative and disintegrative epistemologism. Examples such as classification, XML schemas, and ontologies are compared based an how they specify concepts, build data models, and encode knowledge organization structures. 1. Introduction Knowledge representation (KR) is a term that several research communities use to refer to somewhat different aspects of the same research area. The artificial intelligence (AI) community considers KR as simply "something to do with writing down, in some language or communications medium, descriptions or pictures that correspond in some salient way to the world or a state of the world" (Duce & Ringland, 1988, p. 3). It emphasizes the ways in which knowledge can be encoded in a computer program (Bench-Capon, 1990). For the library and information science (LIS) community, KR is literally the synonym of knowledge organization, i.e., KR is referred to as the process of organizing knowledge into classifications, thesauri, or subject heading lists. KR has another meaning in LIS: it "encompasses every type and method of indexing, abstracting, cataloguing, classification, records management, bibliography and the creation of textual or bibliographic databases for information retrieval" (Anderson, 1996, p. 336). Adding the social dimension to knowledge organization, Hjoerland (1997) states that knowledge is a part of human activities and tied to the division of labor in society, which should be the primary organization of knowledge. Knowledge organization in LIS is secondary or derived, because knowledge is organized in learned institutions and publications. These different points of views an KR suggest that an essential difference in the understanding of KR between both AI and LIS lies in the source of representationwhether KR targets human activities or derivatives (knowledge produced) from human activities. This difference also decides their difference in purpose-in AI KR is mainly computer-application oriented or pragmatic and the result of representation is used to support decisions an human activities, while in LIS KR is conceptually oriented or abstract and the result of representation is used for access to derivatives from human activities.

Date

12. 9.2004 17:22:35

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