-
Kwasnik, B.H.: ¬The role of classification in knowledge representation (1999)
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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)
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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)
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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)
-
Beghtol, C.: Naïve classification systems and the global information society (2004)
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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
-
Dousa, T.M.: Categories and the architectonics of system in Julius Otto Kaiser's method of systematic indexing (2014)
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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)
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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
-
Qin, J.: Evolving paradigms of knowledge representation and organization : a comparative study of classification, XML/DTD and ontology (2003)
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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
-
Shera, J.H.: Pattern, structure, and conceptualization in classification for information retrieval (1957)
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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
-
Maniez, J.: ¬Des classifications aux thesaurus : du bon usage des facettes (1999)
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- Date
- 1. 8.1996 22:01:00
-
Maniez, J.: ¬Du bon usage des facettes : des classifications aux thésaurus (1999)
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- Date
- 1. 8.1996 22:01:00
-
Foskett, D.J.: Systems theory and its relevance to documentary classification (2017)
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- Date
- 6. 5.2017 18:46:22
-
Gödert, W.: Strukturierung von Klassifikationssystemen und Online-Retrieval (1995)
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- Theme
- Klassifikationssysteme im Online-Retrieval
-
Ranganathan, S.R.: Library classification as a discipline (1957)
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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)
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-
Vickery, B.C.: Relations between subject fields : problems of constructing a general classification (1957)
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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
-
¬The need for a faceted classification as the basis of all methods of information retrieval : Memorandum of the Classification Research Group (1997)
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- Footnote
- Wiederabdruck aus: Proceedings of the International Study Conference on Classification for Information Retrieval, Dorking. London: Aslib 1957.
-
Mai, J.E.: ¬The future of general classification (2003)
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- Abstract
- Discusses problems related to accessing multiple collections using a single retrieval language. Surveys the concepts of interoperability and switching language. Finds that mapping between more indexing languages always will be an approximation. Surveys the issues related to general classification and contrasts that to special classifications. Argues for the use of general classifications to provide access to collections nationally and internationally.
- Content
- Beitrag eines Themenheftes "Knowledge organization and classification in international information retrieval"
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Svenonius, E.: ¬The epistemological foundations of knowledge representations (2004)
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- Abstract
- This paper looks at the epistemological foundations of knowledge representations embodied in retrieval languages. It considers questions such as the validity of knowledge representations and their effectiveness for the purposes of retrieval and automation. The knowledge representations it considers are derived from three theories of meaning that have dominated twentieth-century philosophy.
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Broughton, V.: ¬The need for a faceted classification as the basis of all methods of information retrieval (2006)
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- Abstract
- Purpose - The aim of this article is to estimate the impact of faceted classification and the faceted analytical method on the development of various information retrieval tools over the latter part of the twentieth and early twenty-first centuries. Design/methodology/approach - The article presents an examination of various subject access tools intended for retrieval of both print and digital materials to determine whether they exhibit features of faceted systems. Some attention is paid to use of the faceted approach as a means of structuring information on commercial web sites. The secondary and research literature is also surveyed for commentary on and evaluation of facet analysis as a basis for the building of vocabulary and conceptual tools. Findings - The study finds that faceted systems are now very common, with a major increase in their use over the last 15 years. Most LIS subject indexing tools (classifications, subject heading lists and thesauri) now demonstrate features of facet analysis to a greater or lesser degree. A faceted approach is frequently taken to the presentation of product information on commercial web sites, and there is an independent strand of theory and documentation related to this application. There is some significant research on semi-automatic indexing and retrieval (query expansion and query formulation) using facet analytical techniques. Originality/value - This article provides an overview of an important conceptual approach to information retrieval, and compares different understandings and applications of this methodology.
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Connaway, L.S.; Sievert, M.C.: Comparison of three classification systems for information on health insurance (1996)
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- Date
- 22. 4.1997 21:10:19
