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Abstract

From a logical point of view, an OPAC is an inventory with indexes. Inventories can be accumulated and the indexes merged. However, in most merged catalogues not all documents have the same subject indexing and a number of documents are indexed by more than one system. In practice, a merged catalogue also contains descriptions without subject indexing. To augment the situation four methods are used: searching with title keywords, mapping and switching, acceptance of descriptions indexed in a given way only, and »citation pearl growing«. The last method uses all available subject indicators by using subject indicators present in relevant descriptions found by already known indicators. This method can also be of help in mapping and switching.

Source

New pespectives on subject indexing and classification: essays in honour of Magda Heiner-Freiling. Red.: K. Knull-Schlomann, u.a

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Abstract

This article describes our efforts in supporting information retrieval from OCR degraded text. In particular, we report our approach to an automatic cataloging and searching contest for books in multiple languages. In this contest, 500 books in English, German, French, and Italian published during the 1770s to 1970s are scanned into images and OCRed to digital text. The goal is to use only automatic ways to extract information for sophisticated searching. We adopted the vector space retrieval model, an n-gram indexing method, and a special weighting scheme to tackle this problem. Although the performance by this approach is slightly inferior to the best approach, which is mainly based on regular expression match, one advantage of our approach is that it is less language dependent and less layout sensitive, thus is readily applicable to other languages and document collections. Problems of OCR text retrieval for some Asian languages are also discussed in this article, and solutions are suggested

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Date

22. 9.1997 19:16:05

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Date

22. 6.2008 17:14:24

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Date

22. 5.2007 11:19:21