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• W2247602882 abstract "ideas and concepts history Bible literature classical mythology and ancient history TELCLASS originated in the need to provide detailed intellectual access to the contents of the BBC-TV Film and Videotape library in the late 1970's. Over time it has developed by the incorporation of a general classification scheme. But is generally perceived as being difficult to use. Art and Architecture Thesaurus evolved out of dissatisfaction with LCSH for providing access to material i Art and Architecture. Obviously there are other indexing languages which may be applied to some images. Nevertheless the problem of the inadequacy of the existing index languages remains. In a small scale investigation in Northurnbria, Rania Siatri(1996), whom some of you will know investigated the ease with which AAT could be used to index a sample of images chosen to represent the images to be found on the Internet. Generally she found that AAT was acceptable for indexing objects, assuming that it was capable of being extended in those areas where it had not been fully developed but that it was not very effective for representing those abstract concepts which are so important in the study of art history. Enser (1993) noted that queries taken to the Hulton Picture Library could not adequately be represented in the language of the Gibbs-Smith classification system which had been devised specifically for use with that collection. Thus it could hardly be expected to be a successful tool for mediating between queries and images. To the fact that there is no satisfactory language yet in existence for the indexing of images must be added the fact that there are very obvious economic constraints which have precluded providing the intellectual access to image collections. Arguably what is required is an ability either to index picture automatically or at least to query an image collection which has not been indexed using a text based system. In this context, an interesting piece of research being undertaken in my own university uses trademarks as its example. Figure 5 gives a trademark of a very well known British company which I know has at least 2 shops in Thessaloniki so you will probably recognise it. Companies must register trademarks with the Patent Office. Before the Patent Office can allow a company to use a trademark, it must check its records and determine that a proposed trademark is sufficiently different from any existing trademark for there to be no chance of the two trademarks being mistaken for each other. Manually checking these records is a time consuming process. The system, known as ARTISAN, has a database of trademark images and it is able to accept queries, not in words but by shape features. It then matches the requested combination of shape features against the database and ranks the database content so that it provides the trademarks most similar to the shapes of the query first (Eakins,1996). The system is operational and is currently being tested to see how well it performs in comparison to the human searchers at the Patent Office. What is hoped for is a system which will significantly reduce the search time for these people by drawing to their attention those shapes most likely to be similar to a proposed trademark so that the Patent Office staff can then make a decision about the acceptability of a proposed" @default.
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• W2247602882 date "1996-01-01" @default.
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• W2247602882 title "Image storage and retrieval as an important development in services to library users" @default.
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