-
Wang, Z.; Chaudhry, A.S.; Khoo, C.S.G.: Using classification schemes and thesauri to build an organizational taxonomy for organizing content and aiding navigation (2008)
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- Abstract
- Purpose - Potential and benefits of classification schemes and thesauri in building organizational taxonomies cannot be fully utilized by organizations. Empirical data of building an organizational taxonomy by the top-down approach of using classification schemes and thesauri appear to be lacking. The paper seeks to make a contribution in this regard. Design/methodology/approach - A case study of building an organizational taxonomy was conducted in the information studies domain for the Division of Information Studies at Nanyang Technology University, Singapore. The taxonomy was built by using the Dewey Decimal Classification, the Information Science Taxonomy, two information systems taxonomies, and three thesauri (ASIS&T, LISA, and ERIC). Findings - Classification schemes and thesauri were found to be helpful in creating the structure and categories related to the subject facet of the taxonomy, but organizational community sources had to be consulted and several methods had to be employed. The organizational activities and stakeholders' needs had to be identified to determine the objectives, facets, and the subject coverage of the taxonomy. Main categories were determined by identifying the stakeholders' interests and consulting organizational community sources and domain taxonomies. Category terms were selected from terminologies of classification schemes, domain taxonomies, and thesauri against the stakeholders' interests. Hierarchical structures of the main categories were constructed in line with the stakeholders' perspectives and the navigational role taking advantage of structures/term relationships from classification schemes and thesauri. Categories were determined in line with the concepts and the hierarchical levels. Format of categories were uniformed according to a commonly used standard. The consistency principle was employed to make the taxonomy structure and categories neater. Validation of the draft taxonomy through consultations with the stakeholders further refined the taxonomy. Originality/value - No similar study could be traced in the literature. The steps and methods used in the taxonomy development, and the information studies taxonomy itself, will be helpful for library and information schools and other similar organizations in their effort to develop taxonomies for organizing content and aiding navigation on organizational sites.
- Date
- 7.11.2008 15:22:04
- Theme
- Information Resources Management
-
Ullah, A.; Khusro, S.; Ullah, I.: Bibliographic classification in the digital age : current trends & future directions (2017)
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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
-
Gopinath, M.A.: Ranganathan's theory of facet analysis and knowledge representation (1992)
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- Source
- DESIDOC bulletin of information technology. 12(1992) no.5, S.16-20
-
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
-
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
-
Tennis, J.T.: ¬The strange case of eugenics : a subject's ontogeny in a long-lived classification scheme and the question of collocative integrity (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1350-1359
-
McCool, M.; St. Amant, K.: Field dependence and classification : implications for global information systems (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1258-1266
-
Karamuftuoglu, M.: Need for a systemic theory of classification in information science (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.1977-1987
-
Olson, H.A.: Wind and rain and dark of night : classification in scientific discourse communities (2008)
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- Content
- Classifications of natural phenomena demonstrate the applicability of discourse analysis in finding the importance of concepts such as warrant for categorization and classification. Temperature scales provide a body of official literature for close consideration. Official documents of the International Bureau of Weights and Measures (BIPM) reveal the reasoning behind choices affecting these standards. A more cursory scrutiny of the Saffir-Simpson Scale through scholarly publications and documentation from the National Institute of Standards and Technology (KIST) indicates the potential of this form of analysis. The same holds true for an examination of the definition of what is a planet as determined by the International Astronomical Union. As Sayers, Richardson, and Bliss have indicated, there seem to be principles and a reliance on context that bridge the differences between natural and artificial, scientific and bibliographic classifications.
-
Loehrlein, A.J.; Lemieux, V.L.; Bennett, M.: ¬The classification of financial products (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.2, S.263-280
-
Frické, M.: Faceted classification, analysis and search : some questions on their interrelations (2017)
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- Content
- Beitrag in einem Special Issue: Selected Papers from the International UDC Seminar 2017, Faceted Classification Today: Theory, Technology and End Users, 14-15 September, London UK.
-
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
-
Belayche, C.: ¬A propos de la classification de Dewey (1997)
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- Source
- Bulletin d'informations de l'Association des Bibliothecaires Francais. 1997, no.175, S.22-23
-
Lin, W.-Y.C.: ¬The concept and applications of faceted classifications (2006)
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- Date
- 27. 5.2007 22:19:35
-
Lorenz, B.: Zur Theorie und Terminologie der bibliothekarischen Klassifikation (2018)
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- Pages
- S.1-22
-
Slavic, A.; Cordeiro, M.I.: Core requirements for automation of analytico-synthetic classifications (2004)
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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
-
Green, R.: Facet analysis and semantic frames (2017)
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- Content
- Beitrag in einem Special Issue: Selected Papers from the International UDC Seminar 2017, Faceted Classification Today: Theory, Technology and End Users, 14-15 September, London UK.
-
Winske, E.: ¬The development and structure of an urban, regional, and local documents classification scheme (1996)
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- Footnote
- Paper presented at conference on 'Local documents, a new classification scheme' at the Research Caucus of the Florida Library Association Annual Conference, Fort Lauderdale, Florida 22 Apr 95
