Abstract
Knowledge Management Systems (KMSs) are of increasing interest in economy to collect, store and re-use company-relevant knowledge as a resource to gain productivity. In this paper we demonstrate how to leverage structured information for its efficient re-use. We propose the development of ontologies to represent the knowledge to be stored. As it is anyhow the case that in a KMS knowledge has to be fostered the step towards a systematic structuring is a solution which suggests itself. In the paper we outline our experience with the development of an ontological model of the KMS of the IT company sd&m (called K-WEB) in view of a restructuring process of the whole system. On the basis of the implemented ontology we illustrate how frequently asked questions in the company which are difficult to be answered by the currently deployed full-text retrieval-system (for instance, experienced colleagues in a specific programming language can only be found if the currently considered list of relevant documents can be classified as the employee’s home page due to the fact that only on this page a pointer into the skills hierarchy is provided in the K-WEB whereas a full text retrieval system can neither regard the document type nor the physical pointer) become simple in a structural representation.
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References
Bernaras, A., Laresgoiti, I., and Corera, J. (1996). Building and reusing ontologies for electrical network applications. In Procs. of European Conference on AI.
Dieng, R., Corby, O., Giboin, A., and Ribiere, M. (1999a). Methods and tools for corporate knowledge management. Journal of Human-Computer Studies, 51(3):567–598.
Dieng, R., Corby, O., Giboin, A., and Ribiere, M. (1999b). Methods and tools for corporate knowledge management. International Journal on Human-Computer Studies, 51(3):567–598.
Dretske, F. (1981). Knowledge and the Flow of Information. MIT Press, Cambridge, MA, USA.
Düsterhöft, A., Neumann, G., Becker, M., Bedersdorfer, J., and Bruder, I. (2000). Getessconstructing a linguistic search index for an internet search engine. In Procs. of 5th International Conference on Applications of Natural Language to Information Systems, Versailles, France.
Frakes, W.B. and Baeza-Yates, R. (1992). Information Retrieval, Data Structures & Algorithms. Prentice Hall, Hemel Hempstead.
Gandon, F. (2001). Engineering an ontology for a multi-agents corporate memory system. In Procs. of the 9th International Symposium on the Management of Industrial and Corporate Knowledge, Compiénge, France.
Gomez-Perez, A. (1996). A framework to verify knowledge sharing technology. Expert Systems with Applications, 11(4):519–529.
Gruber, T. R. (1993). Towards principles for the design of ontologies used for knowledge sharing. In Guarino, N. and Poli, R., editors, Formal Ontology in Conceptual Analysis and Knowledge Representation, Dordrecht, Norwell. Kluwer Academic Publishers.
Hahn, U., Romacker, M., and Schulz, S. (1999). How knowledge drives understanding: Matching medical ontologies with the needs of medical language processing. AI in Medicine, 15(1):25–51.
Jurisica, I., Mylopoulos, J., and Yu, E. (1999). Using ontologies for knowledge management: An information systems perspective. In Proceedings of the 62nd Annual Meeting of the American Society for Information Science (ASIS’99), Oct. 31–Nov. 4, 1999, Washington, D.C., pages 482–496.
Korta (2001). Shore — 1.0.8, administration handbook. sd&m, Munich, Germany.
Kühn, O. and Abecker, A. (1997). Corporate memories for knowledge management in industrial practice: Prospects and challenge. Journal of Universal Computer Science, 3(8):929–954.
Ogden, C. K.and Richards, I. A. (1923). The Meaning of Meaning: A Study of the Influence of Language upon Thought and the Science of Symbolism. Routledge & Kegan Paul Ltd., London.
Peirce, C. (1931). Collected Papers of Charles Sanders Harvard University Press, Cambridge, Massachusetts.
Staab, S. and Maedche, A. (2001). Knowledge portals — ontologies at work.
Staab, S., Schnurr, H., Studer, R., and Sure, Y. (2001). Knowledge processes and ontologies. IEEE Intelligent Systems, 16(1):26–34.
Steels, L. (1993). Corporate knowledge management. In Procs. of the 2nd International Symposium on the Management of Industrial and Corporate Knowledge, pages 9–30, Compiénge, France.
Studer, R., Erdmann, M., Mädche, A., Oppermann, H., Schnurr, H.-P., Staab, S., Sure, Y., and Tempich, C.(2001). Arbeitsgerechte bereitstellung von wissen-ontologien für das wissensmanagement. http://www.aifb.uni-karlsruhe.de/WBS/ama/publications/paperheilmann.pdf.
Sure, Y. (2002). A tool-supported methodology for ontology-based knowledge management. In Submitted to 8th International Symposium on Methodologies for Intelligent Systems, Lyon, France.
Uschold, M. and King, M. (1995). Towards a methodology for building ontologies. In Procs. of Workshop on Basic Ontological Issues in Knowledge Sharing, held in conjunction with IJCAI-95, Montreal, CA.
Verity (1998). Search’97 information server user’s guide v3.6. Verity, Sunnyvale.
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Zimmermann, B., Gnasa, M., Harbusch, K. (2002). Modeling a Corporate Information System to Improve Knowledge Management. In: Chaudhri, A.B., Unland, R., Djeraba, C., Lindner, W. (eds) XML-Based Data Management and Multimedia Engineering — EDBT 2002 Workshops. EDBT 2002. Lecture Notes in Computer Science, vol 2490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36128-6_26
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DOI: https://doi.org/10.1007/3-540-36128-6_26
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