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Theme

Klassifikationssysteme im Online-Retrieval

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Abstract

Converting UDC numbers manually to a complex format such as the one mentioned above is an unrealistic expectation; supporting building these representations, as far as possible automatically, is a well-founded requirement. An additional advantage of this approach is that the existing records could also be processed and converted. In my dissertation I would like to prove also that it is possible to design and implement an algorithm that is able to convert pre-coordinated UDC numbers into the introduced format by identifying all their elements and revealing their whole syntactic structure as well. In my dissertation I will discuss a feasible way of building a UDC-specific XML schema for describing the most detailed and complicated UDC numbers (containing not only the common auxiliary signs and numbers, but also the different types of special auxiliaries). The schema definition is available online at: http://piros.udc-interpreter.hu#xsd. The primary goal of my research is to prove that it is possible to support building, retrieving, and analyzing UDC numbers without compromises, by taking the whole syntactic richness of the scheme by storing the UDC numbers reserving the meaning of pre-coordination. The research has also included the implementation of a software that parses UDC classmarks attended to prove that such solution can be applied automatically without any additional effort or even retrospectively on existing collections.

Content

Vgl. auch: New automatic interpreter for complex UDC numbers. Unter: <https%3A%2F%2Fudcc.org%2Ffiles%2FAttilaPiros_EC_36-37_2014-2015.pdf&usg=AOvVaw3kc9CwDDCWP7aArpfjrs5b>

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Abstract

FinMeSH, for Finish medical and health information users has been prepared by cooperation between professional societies and institutions as well as through international relations. MeSH has a global and a local section. It would be helpful for efficient information retrieval and availability of medical and health care information, if the complete global structure could be reflected in live local concepts

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Abstract

In Sweden, the Medical Subject Headings System (MeSH) has been used for more than 3 decades but the decision to translate it to the Swedish language was made only in 1995. The reasons of the translation are the sophisticated strucuture of the keyword system and the expansion of the retrieval needs of medical information in Sweden