Abstract
Identifying and analyzing the knowledge available in document form is a key element of corporate knowledge management. In engineering-intensive organizations, it involves tasks such as standard generation and evaluation, comparison of related cases and experience reuse in their treatment. In this paper, we present the design, implementation, and some application experiences with a modular approach that allows a variety of techniques from semantic document analysis to interoperate with a tailorable map-centered visualization of the structure of technical document collections.
An extended version of this paper is available as technical report 2000-4, Dept. of Computer Science, RWTH Aachen, Germany (via anonymous FTP: ftp://ftp.informatik.rwth-aachen.de )
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References
Becks, A., Köller, J.: Automatically Structuring Textual Requirement Scenarios. In: Proc. of the 14th IEEE Conf. on Automated Software Engineering, Cocoa Beach, Florida, USA (1999)
Becks, A., Sklorz, S., Tresp, C.: Semantic Structuring and Visual Querying of Document Abstracts in Digital Libraries. In: Nikolaou, C., Stephanidis, C. (eds.) ECDL 1998. LNCS, vol. 1513, pp. 443–458. Springer, Heidelberg (1998)
Chalmers, M., Chitson, P.: Bead: Explorations in Information Visualization. In: Proc. of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Copenhagen, pp. 330–337 (1992)
Chen, H., Schuffels, C., Orwig, R.: Internet Categorization and Search: A Self-Organizing Approach. Journal of Visual Communication and Image Representation 7(1), 88–102 (1996)
Davidson, G.S., Hendrickson, B., Johnson, D.K., Meyers, C.E., Wylie, B.N.: Knowledge Mining With VxInside: Discovery Through Interaction. Journal of Intelligent Information Systems 11(3), 259–285 (1998)
Faloutsos, C., Lin, D.: Fastmap: A Fast Algorithm for Indexing, Data-Mining and Vizualization of Traditional and Multimedia Datasets. In: Proc. of the Int. Conf. on Management of Data (SIGMOD 1995), vol. 2(24) (1995)
Kohonen, T.: Self-Organizing Maps, 2nd edn. Springer, Berlin (1995)
Lagus, K., Honkela, T., Kaski, S., Kohonen, T.: Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration. In: Proc. of the 2nd International Conference on Knowledge Discovery and Data Mining. AAAI Press, California (1996)
Lenz, M.: Managing the Knowledge Contained in Technical Documents. In: Proc. of the 2nd International Conference on Practical Aspects of Knowledge Management (PAKM 1998), Basel, Switzerland (1998)
Lin, X., Soergel, D., Marchionini, G.: A Self-Organizing Map for Information Retrieval. In: SIGIR 1991, Conf. on Research and Development in Information Retrieval, Chicago (1991)
Risch, J., May, R., Dowson, S., Thomas, J.: A Virtual Environment for Multimedia Intelligence Data Analysis. IEEE Computer Graphics and Applications, 33–41 (1996)
Salton, G. (ed.): The SMART Retrieval System – Experiments in Automatic Document Processing. Prentice Hall, New Jersey (1971)
Sklorz, S., Becks, A., Jarke, M.: MIDAS: ein Multistrategiesystem zum explorativen Data Mining (in German). In: 2nd Workshop Data Mining und Data Warehousing als Grundlage moderner entscheidungsunterstützender Systeme, LWA 1999 Sammelbd., Univ. Magdeburg (1999)
Sklorz, S.: A Method for Data Analysis based on Self Organizing Feature Maps, World Automation Congress (WAC 1996), Albuquerque, USA, 611–616 (1996)
Wise, J.A., Thomas, J.J., Pennock, K., Lantrip, D., Pottier, M., Schur, A., Crow, V.: Visualizing the non-visual: Spatial analysis and interaction with information from text documents. In: Proc. of IEEE Information Visualization (InfoViz 1995), pp. 51–58 (1995)
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Becks, A., Sklorz, S., Jarke, M. (2000). Exploring the Semantic Structure of Technical Document Collections: A Cooperative Systems Approach. In: Scheuermann, P., Etzion, O. (eds) Cooperative Information Systems. CoopIS 2000. Lecture Notes in Computer Science, vol 1901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10722620_11
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DOI: https://doi.org/10.1007/10722620_11
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