Search (11 results, page 1 of 1)

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Date

22. 9.2007 15:41:14

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Abstract

The paper examines the way in which classification schemes can be applied to the organization of digital resources. The case is argued for the particular suitability of schemes based an faceted principles for the organization of complex digital objects. Details are given of a co-operative project between the School of Library Archive & Information Studies, University College London, and the United Kingdom Higher Education gateways Arts and Humanities Data Service and Humbul, in which a faceted knowledge structure is being developed for the indexing and display of digital materials within a new combined humanities portal.

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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

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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Abstract

This paper examines the differences in the functional requirements of a faceted classification system when used in a conventional print-based environment (where the emphasis is on the browse function of the classification) as compared to its application to digital collections (where the retrieval function is paramount). The use of the second edition of Bliss's Bibliographic Classification (BC2) as a general classification for the physical organization of undergraduate collections in the University of Cambridge is described. The development of an online tool for indexing of digital resources using the Bliss terminologies is also described, and the advantages of facet analysis for data structuring and system syntax within the prototype tool are discussed. The move from the print-based environment to the digital makes different demands an both the content and the syntax of the classification, and while the conceptual structure remains similar, manipulation of the scheme and the process of content description can be markedly different.

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Content

The paper describes current work on the generation of a thesaurus format from the schedules of the Bliss Bibliographic Classification 2nd edition (BC2). The practical problems that occur in moving from a concept based approach to a terminological approach cluster around issues of vocabulary control that are not fully addressed in a systematic structure. These difficulties can be exacerbated within domains in the humanities because large numbers of culture specific terms may need to be accommodated in any thesaurus. The ways in which these problems can be resolved within the context of a semi-automated approach to the thesaurus generation have consequences for the management of classification data in the source vocabulary. The way in which the vocabulary is marked up for the purpose of machine manipulation is described, and some of the implications for editorial policy are discussed and examples given. The value of the classification notation as a language independent representation and mapping tool should not be sacrificed in such an exercise.

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Abstract

Facet analysis is proposed as a general theory of knowledge organization, with an associated methodology that may be applied to the development of terminology tools in a variety of contexts and formats. Faceted classifications originated as a means of representing complexity in semantic content that facilitates logical organization and effective retrieval in a physical environment. This is achieved through meticulous analysis of concepts, their structural and functional status (based on fundamental categories), and their inter-relationships. These features provide an excellent basis for the general conceptual modelling of domains, and for the generation of KOS other than systematic classifications. This is demonstrated by the adoption of a faceted approach to many web search and visualization tools, and by the emergence of a facet based methodology for the construction of thesauri. Current work on the Bliss Bibliographic Classification (Second Edition) is investigating the ways in which the full complexity of faceted structures may be represented through encoded data, capable of generating intellectually and mechanically compatible forms of indexing tools from a single source. It is suggested that a number of research questions relating to the Semantic Web could be tackled through the medium of facet analysis.

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Abstract

The paper traces the development of the discussion around ethical issues in artificial intelligence, and considers the way in which humans have affected the knowledge bases used in machine learning. The phenomenon of bias or discrimination in machine ethics is seen as inherited from humans, either through the use of biased data or through the semantics inherent in intellectually- built tools sourced by intelligent agents. The kind of biases observed in AI are compared with those identified in the field of knowledge organization, using religious adherents as an example of a community potentially marginalized by bias. A practical demonstration is given of apparent religious prejudice inherited from source material in a large database deployed widely in computational linguistics and automatic indexing. Methods to address the problem of bias are discussed, including the modelling of the moral process on neuroscientific understanding of brain function. The question is posed whether it is possible to model religious belief in a similar way, so that robots of the future may have both an ethical and a religious sense and themselves address the problem of prejudice.

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Date

9. 2.1997 18:44:22

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Abstract

The paper looks at ways in which traditional classification and indexing tools have dealt with the relationships between constituent terms; variations in these are examined and compared with the methods used in machine searching, particularly of the Internet and World Wide Web. Apparent correspondences with features of index languages are identified, and further methods of applying classification and indexing theory to machine retrieval are proposed. There are various ways in which indexing and retrieval systems, both conventional and electronic, deal with the problem of searching for documents on a subject basis, and various approaches to the analysis and processing of a query. There appear to be three basic models; the taxonomic or structural system, in which the user is offered a map of the `universe of knowledge'; the language based system, which offers a vocabulary of the subject and a grammar for dealing with compound statements; and the mathematical model using the language of symbolic logic or the algebra of set theory

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Date

10. 8.2001 13:22:14