Summary
In hardly any other area is the availability of regional development data of such great importance as it is in the sector of environmental protection and conservation. It is therefore the goal of every environmental information system to provide relevant data collections for legislative bodies and for the daily execution of administrative tasks In this context, environmental information systems are mainly represented by the organisational association of data collections by specialist information systems. Organisational association, because the required data should be accessible, but must remain with the authorities responsible for the specialist information. The current technology of data processing supports these requirements placed in divided processing.
The proof of where which data can be found and processed under which qualitative and quantitative conditions is the core of the system. The required ‘common denominator‘ is the classification and the determination of the common vocabulary and its relations (=thesaurus) as a metalanguage in order to be able to secure comparable and combinable research results regarding specialist information. This therefore means for information systems that the ‘language’ and the ‘grammatics’ of the data used in the said information system is clearly defined and known to the user. The dialogue with the user is organised and supported on the basis of these language patterns. For this reason, the importance of a thesaurus and of a data model as the basis of a common language is given particular weight.
Due to the fact that the references, as described above, are based on extremely varied contents and regulations of how the data is to be dealt with, it would appear justifiable to classify these points of view as being aspects of the object.
The content classification of data according to the topic, i.e. specialist origins and possible usability, is the aspect pertaining to the structuring of the data. The question of the technical procedural position of the data, within the data bank, points the way to an object-related classification and storage of data. Using a simple mathematic model, the following sections are intended to demonstrate,
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that the object-related classification of data as a content-independent aspect is an important supplement to the data itself and
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several possibilities of an object-orientated client server technology will be pointed out.
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Weihs, E. (1998). On the classification of environmental data in the Bavarian Environment Information System using an object-oriented approach. In: Hayashi, C., Yajima, K., Bock, HH., Ohsumi, N., Tanaka, Y., Baba, Y. (eds) Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65950-1_79
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DOI: https://doi.org/10.1007/978-4-431-65950-1_79
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