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,
-
that the object-related classification of data as a content-independent aspect is an important supplement to the data itself and
-
several possibilities of an object-orientated client server technology will be pointed out.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bock, H.-H., Lenski W., Richter M.M. Eds. (1993): Information Systems and Data Analysis, Procedings of the 17th Anual Conference of the Gesellschaft für Klassifikation e. V., Berl in Springer
Brito, P., Diday, E. (1990): Pyramidal representaton of symbolic objects, Knowledge, Data Knowledge and Decision, Hamburg, Eds. Schader, Springer
Feyerabend, P. (1976): Wider den Methodenzwang, Suhrkamp, Frankft. 1976, 296f., p. 352ff..
Herrschaft, L.: Zur Bestimmung eines medienspezifischen Informationsbegriffs in: Zeitschrift für Informationswissenschaft und -praxis, Journal for Information Thgeory and Work, 47. Jahrg. Nr.3 Volume 47, No. 3 Nadoaw 47(3) S171 ff.
Kommission der Europäischen Gemeinschaft, KoEU (1990): “Richtlinien über den freien Zugang zu Informationen über die Umwelt”, Brüssel 1990
Bund Länderarbeitsgemeinschaft Bodenschutz LABO (1994): Aufgaben und Funktionen von Kernsystemen des Bodeninformationssystems als Teil von Umweltinformationssystemen, Umweltministerium Baden Württemberg, Stuttgart 1994
Nedobity, W (1989) Ordnungsstrukturen für Begriffskategorien, Studie zur Klassifikation, Bd 19(SK 19), Hrsg. Ges. f. Klassifikation e. V. Darmstadt 1989, p. 183 f Opitz, O., Lausen, B., Klar (Eds.) ( 1992 ) Information and Classification, Springer Berlin New York
Schilling, P. (1991): Variabler Thesaurus - eine Schlüsselfunktion für die zukünftige Informationsverarbeitung in einer Verwaltung Konzeption und Einsatz von Umweltinformationssystemen, Brauer, W. im Auftrag der Gesellschaft fur Informatik (GI )
Weibs, E. (1992): On the Client-Server Conzept of Text Related Data, Cognitive Paradigms in Knowledge Orga nisation, Sarada Ranganathan Endowment for Library Science, (Hrsg.), 452–459, Madras.
Weibs, E. (1993): An approach to a Space Related Thesaurus; Information and Classification, O.Opitz, B.Lausen, R.Klar (Hrsg), 469–476; Springer; Berlin, Heidelberg.
Weibs, E. (1993): Datenbanken als Grundlage von Umweltinformationssystemen, Tagungsunterlagen zur 17. Jahrestagung der Ges. fur Klassifikation, Kaiserslautern.
Wenzlaff, B. (1991): Vielfalt der Informationsbegriffe, Nachrictiten fier Dokumentation 42, Heft 5/1991, 335–361, Weinheim.
Wersig, G. (1985): Thesaurus-Leitfaden: eine Einführung in das Thesaurus-Prinzip, Theorie und Praxis. - DGD-Schriftenreihe Bd. 8; K.G. Saur; München.
Whorf, X. (1976): Language, Thought and Reality, MIT Press, 1956, p. 12
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Japan
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-4-431-65950-1_79
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-70208-5
Online ISBN: 978-4-431-65950-1
eBook Packages: Springer Book Archive