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ILMAX: a system for managing experience knowledge in a long‐term study of stream ecosystem regeneration: An application of ecological informatics

Michael Neumann (Institute of Ecology, Department of Limnology, University of Jena, Jena, Germany)
Joachim Baumeister (Institute of Computer Science, Department of Artificial Intelligence and Applied Computer Science, University of Würzburg, Würzburg, Germany)
Frank Puppe (Institute of Computer Science, Department of Artificial Intelligence and Applied Computer Science, University of Würzburg, Würzburg, Germany)

Management of Environmental Quality

ISSN: 1477-7835

Article publication date: 1 June 2004

Abstract

We present the concept and first experiences for a Web‐based ecological knowledge management system ILMAX. It manages experience knowledge resulting from an ecological long‐term investigation of the regeneration process of the stream Ilm (Thuringia, Germany). The tools used are iZone, a Web‐based content management system with an emphasis on information retrieval and feedback, and D3, a tool kit for building knowledge‐based systems and for managing case bases. The difficult initializing phase of knowledge management systems was done by a “knowledge champion” gathering and structuring various kinds of text documents, data sheets and unpublished knowledge of domain experts.

Keywords

Citation

Neumann, M., Baumeister, J. and Puppe, F. (2004), "ILMAX: a system for managing experience knowledge in a long‐term study of stream ecosystem regeneration: An application of ecological informatics", Management of Environmental Quality, Vol. 15 No. 3, pp. 306-317. https://doi.org/10.1108/14777830410531270

Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited