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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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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

This paper focuses on the discursive formations emerging from the Social Semantic Information Spaces (SSIS) in light of the concept of emergence in the theory of integrative levels. The study aims to identify the opportunities and challenges of incorporating epistemological considerations in the act of acquiring knowledge into the consolidation of knowledge organization and mediation processes and devices in the emergence of phenomena. The goal was to analyze the effects of that concept on the actions of a sample of researchers registered in an emerging research domain in SSIS in order to understand this type of indexing done by the users and communities as a classification of integrating levels. The methodology was established by triangulation through social network analysis, consensus analysis and archaeology of knowledge. It was possible to conclude that there is a collective effort to settle a semantic interoperability model for the labeling of contents based on best practices regarding the description of the objects shared in SSIS.