Search (46 results, page 1 of 3)

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Abstract

This is a report on how Doyle and others made a faceted classification scheme for content management systems and made it browsable on the web (see CMS Review in Example Web Sites, below). They discuss why they did it, how, their use of OPML and XFML, how they did research to find terms and categories, and they also include their taxonomy. It is interesting to see facets used in a business environment.

Date

30. 7.2004 12:22:52

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Abstract

This paper presents a study conducted at the University of Colorado at Boulder (CU-Boulder) to assess the extent to which its catalogers were using Classification Web (Class Web), the subscription-based, online cataloging documentation resource provided by the Library of Congress. In addition, this paper will explore assumptions made by management regarding CU-Boulder catalogers' use of the product, possible reasons for the lower-than-expected use, and recommendations for promoting a more efficient and cost-effective use of Class Web at other institutions similar to CU-Boulder.

Date

10. 9.2000 17:38:22

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Abstract

This paper discusses two inter-related themes: the retrieval potential of faceted thesauri and XML representations of fundamental facets. Initial findings are discussed from the ongoing 'FACET' project, in collaboration with the National Museum of Science and Industry. The work discussed seeks to take advantage of the structure afforded by faceted systems for multi-term queries and flexible matching, focusing in this paper an the Art and Architecture Thesaurus. A multi-term matching function yields ranked results with partial matches via semantic term expansion, based an a measure of distance over the semantic index space formed by thesaurus relationships. Our intention is to drive the system from general representations and a common query structure and interface. To this end, we are developing an XML representation based an work by the Classification Research Group an fundamental facets or categories. The XML representation maps categories to particular thesauri and hierarchies. The system interface, which is configured by the mapping, incorporates a thesaurus browser with navigation history together with a term search facility and drag and drop query builder.

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Abstract

An explanation of faceted classification meant for people working in knowledge management. An example given for a high-technology company has the fundamental categories Products, Applications, Organizations, People, Domain objects ("technologies applied in the marketplace in which the organization participates"), Events (i.e. time), and Publications.

Editor

Knowledge Management Connection

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Source

Knowledge organization and quality management: Proc. of the 3rd International ISKO Conference, 20-24 June 1994, Copenhagen, Denmark. Ed.: H. Albrechtsen et al

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Footnote

Beitrag in einem Special Issue: Content architecture: exploiting and managing diverse resources: proceedings of the first national conference of the United Kingdom chapter of the International Society for Knowedge Organization (ISKO)

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Footnote

Übers. d. Titels: The use of improved classification systems for the description management and searching of Internet sources

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Abstract

In a global context characterized by the massive use of information technology and communications any organization needs to optimize the search and document management processes. In this paper an analysis of modern document management techniques and computational strategies with specialized language resources is presented and a model that can be used in automatic text categorization in the context of organizations is proposed.As a particular case we describe a classification system according to the taxonomy JEL (Journal of Economic Literature) and that makes use of multilingual glossaries for hierarchical classifications of scientific and technical documents related to the business functional areas.

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Source

Journal of academic librarianship. 10(1984), S.17-22

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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

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Abstract

In 2001, a group of information architects involved in designing websites, and knowledge management specialists involved in creating access to corporate knowledge bases appeared to have re-discovered facet analysis and faceted classification. These groups have been instrumental in creating new and different ways of handling digital content of the Internet. Some of these practitioners explicitly use the forms and language of facet analysis and faceted classification, while others seem to do so implicitly. Following a brief overview of the work and discussions on facets and faceted classification in recent years, we focus on our observations about new information resources which seem more in line with the Fourth law of Library Science ("Save the time of the reader") than most library OPACs today. These new developments on the Internet point to a partial grasp of a disciplined approach to subject access. This is where Ranganathan and Neelameghan's approach needs to be reviewed for the new audience of information system designers. A report on the work undertaken by us forms a principal part of this paper.

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Source

Knowledge organization and quality management: Proc. of the 3rd International ISKO Conference, 20-24 June 1994, Copenhagen, Denmark. Ed.: H. Albrechtsen et al

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Date

22. 6.2002 19:42:47

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Abstract

This paper discusses constraints in knowledge organisation for information retrieval introduced by the difficulty of separating logical views of data, information, concepts and their relationships, from the physical means by which we seek to implement retrieval systems. A parallel is drawn between the move from enumerated to faceted classification and the emergence of relational database management systems to replace those adopting a hierarchical structure. This parallel suggests a convergence of ideas which have been, to a large extent, developed independently. The role of post-coordinated retrieval systems and thesauri is then examined before an interface design (HIBROWSE - a High resolution Interface for BROWsing and SEarching databases), is described which brings together the principles of faceted classification and increases the bandwidth of interaction through view-based searching.

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Content

Enthält die Beiträge: DAVENPORT, E.: Implicit orders: documentary genres and organizational practice; ANDERSEN, J. u. F.S. CHRISTENSEN: Wittgenstein and indexing theory; OLSON, H.A.: Cultural discourses of classification: indigeous alternatives to the tradition of Aristotle, Dürkheim, and Foucault; FRÂNCU, V.: A universal classification system going through changes; JACOB, E.K. u. U. PRISS: Nontraditional indexing structures for the management of electronic resources; BROOKS, T.A.: Relevance auras: macro patterns and micro scatter; RUIZ, M.E. u. SRINIVASAN, P.: Combining machine learning and hierarchical indexing structures for text categorization; WEEDMAN, J.: Local practice and the growth of knowledge: decisions in subject access to digitized images

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Abstract

The Bliss Bibliographic Classification is the only example of a fully faceted general classification scheme in the Western world. Although it is the object of much interest as a model for other tools it suffers from the lack of a web presence, and remedying this is an immediate objective for its editors. Understanding how this might be done presents some challenges, as the scheme is semantically very rich and complex in the range and nature of the relationships it contains. The automatic management of these is already in place using local software, but exporting this to a common data format needs careful thought and planning. Various encoding schemes, both for traditional classifications, and for digital materials, represent variously: the concepts; their functional roles; and the relationships between them. Integrating these aspects in a coherent and interchangeable manner appears to be achievable, but the most appropriate format is as yet unclear.

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Abstract

Modern fact databses contain abundant data classified through several classifications. Typically, users msut consult these classifications in separate manuals or files, thus making their effective use difficult. Contemporary database systems do little support deductive use of classifications. In this study we show how deductive data management techniques can be applied to the utilization of data value classifications. Computation of transitive class relationships is of primary importance here. We define a representation of classifications which supports transitive computation and present an operation-oriented deductive query language tailored for classification-based deductive information retrieval. The operations of this language are on the same abstraction level as relational algebra operations and can be integrated with these to form a powerful and flexible query language for deductive information retrieval. We define the integration of these operations and demonstrate the usefulness of the language in terms of several sample queries

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Abstract

In the Internet information space, advanced information retrieval (IR) methods and automatic text processing are used in conjunction with traditional knowledge organization systems (KOS). New information technology provides a platform for better KOS publishing, exploitation and sharing both for human and machine use. Networked KOS services are now being planned and developed as powerful tools for resource discovery. They will enable automatic contextualisation, interpretation and query matching to different indexing languages. The Semantic Web promises to be an environment in which the quality of semantic relationships in bibliographic classification systems can be fully exploited. Their use in the networked environment is, however, limited by the fact that they are not prepared or made available for advanced machine processing. The UDC was chosen for this research because of its widespread use and its long-term presence in online information retrieval systems. It was also the first system to be used for the automatic classification of Internet resources, and the first to be made available as a classification tool on the Web. The objective of this research is to establish the advantages of using UDC for information retrieval in a networked environment, to highlight the problems of automation and classification exchange, and to offer possible solutions. The first research question was is there enough evidence of the use of classification on the Internet to justify further development with this particular environment in mind? The second question is what are the automation requirements for the full exploitation of UDC and its exchange? The third question is which areas are in need of improvement and what specific recommendations can be made for implementing the UDC in a networked environment? A summary of changes required in the management and development of the UDC to facilitate its full adaptation for future use is drawn from this analysis.

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Abstract

Purpose - This paper aims to provide an overview of principles and procedures involved in creating a faceted classification scheme for use in resource discovery in an online environment. Design/methodology/approach - Facet analysis provides an established rigorous methodology for the conceptual organization of a subject field, and the structuring of an associated classification or controlled vocabulary. This paper explains how that methodology was applied to the humanities in the FATKS project, where the objective was to explore the potential of facet analytical theory for creating a controlled vocabulary for the humanities, and to establish the requirements of a faceted classification appropriate to an online environment. A detailed faceted vocabulary was developed for two areas of the humanities within a broader facet framework for the whole of knowledge. Research issues included how to create a data model which made the faceted structure explicit and machine-readable and provided for its further development and use. Findings - In order to support easy facet combination in indexing, and facet searching and browsing on the interface, faceted classification requires a formalized data structure and an appropriate tool for its management. The conceptual framework of a faceted system proper can be applied satisfactorily to humanities, and fully integrated within a vocabulary management system. Research limitations/implications - The procedures described in this paper are concerned only with the structuring of the classification, and do not extend to indexing, retrieval and application issues. Practical implications - Many stakeholders in the domain of resource discovery consider developing their own classification system and supporting tools. The methods described in this paper may clarify the process of building a faceted classification and may provide some useful ideas with respect to the vocabulary maintenance tool. Originality/value - As far as the authors are aware there is no comparable research in this area.

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Date

8. 1.2007 12:22:40