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Abstract

Computers have transformed from single isolated devices to entry points into a worldwide network of information exchange. Consequently, support in the exchange of data, information, and knowledge is becoming the key issue in computer technology today. The increasing volume of data available on the Web makes information retrieval a tedious and difficult task. Researchers are now exploring the possibility of creating a semantic web, in which meaning is made explicit, allowing machines to process and integrate web resources intelligently. The vision of the semantic web introduces the next generation of the Web by establishing a layer of machine-understandable data. The success of the semantic web depends on the easy creation, integration and use of semantic data, which will depend on web ontology. The faceted approach towards analyzing and representing knowledge given by S R Ranganathan would be useful in this regard. Ontology development in different fields is one such area where this approach given by Ranganathan could be applied. This paper presents a case of developing ontology for the field of banking.

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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

Freely faceted classifications allow for free combination of concepts across all knowledge domains, and for sorting of the resulting compound classmarks. Starting from work by the Classification Research Group, the Integrative Levels Classification (ILC) project has produced a first edition of a general freely faceted scheme. The system is managed as a MySQL database, and can be browsed through a Web interface. The ILC database structure provides a case for identifying and representing the structural elements of any freely faceted classification. These belong to both the notational and the verbal planes. Notational elements include: arrays, chains, deictics, facets, foci, place of definition of foci, examples of combinations, subclasses of a faceted class, groupings, related classes; verbal elements include: main caption, synonyms, descriptions, included terms, related terms, notes. Encoding of some of these elements in an international mark-up format like SKOS can be problematic, especially as this does not provide for faceted structures, although approximate SKOS equivalents are identified for most of them.