{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:01:28Z","timestamp":1754157688113,"version":"3.41.2"},"reference-count":43,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2005,10,1]],"date-time":"2005-10-01T00:00:00Z","timestamp":1128124800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005,10,1]]},"abstract":"<jats:p><jats:bold><jats:bold>Purpose<\/jats:bold><\/jats:bold> \u2013 <jats:italic>To resent approaches and some research results of various research areas contributing to knowledge discovery from different sources, different data forms, on different scale, and for different purpose.<\/jats:italic> <jats:bold><jats:bold>Design\/methodology\/approach<\/jats:bold><\/jats:bold> \u2013 <jats:italic>Contribute to knowledge management by applying knowledge discovery approaches to enable computer search for the relevant knowledge whereas the humans give just broad directions.<\/jats:italic> <jats:bold><jats:bold>Findings<\/jats:bold><\/jats:bold> \u2013 <jats:italic>Knowledge discovery techniques proved to be very appropriate for many problems related to knowledge management. Surprisingly, it is often the case that already relatively simple approaches provide valuable results.<\/jats:italic> <jats:bold><jats:bold>Research limitations\/implications<\/jats:bold><\/jats:bold> \u2013 <jats:italic>Still there are many open problems and scalability issues that arise when dealing with real\u2010world data and especially in the areas involving text and network analysis.<\/jats:italic> <jats:bold><jats:bold>Practical implications<\/jats:bold><\/jats:bold> \u2013 <jats:italic>Each problem should be handled with care, taking into account different aspects and selecting\/extending the most appropriate available methods or developing some new approaches.<\/jats:italic> <jats:bold><jats:bold>Originality\/value<\/jats:bold><\/jats:bold> \u2013 <jats:italic>This paper provides an interesting collection of selected knowledge discovery methods applied in different context but all contributing in some way to knowledge management. Several of the reported approaches were developed in collaboration with the authors of the paper with especial emphases on their usability for practical problems involving knowledge management.<\/jats:italic><\/jats:p>","DOI":"10.1108\/13673270510622500","type":"journal-article","created":{"date-parts":[[2007,1,15]],"date-time":"2007-01-15T19:22:49Z","timestamp":1168888969000},"page":"132-149","source":"Crossref","is-referenced-by-count":24,"title":["Automated knowledge discovery in advanced knowledge management"],"prefix":"10.1108","volume":"9","author":[{"given":"Marko","family":"Grobelnik","sequence":"first","affiliation":[]},{"given":"Dunja","family":"Mladeni\u0107","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022031220114823800_b1","unstructured":"Agirre, E., Ansa, O., Hovy, E. and Mart\u00ednez, D. (2000), Enriching very large ontologies using the WWW, Proceedings of the First Workshop on Ontology Learning OL\u20102000. 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(Eds) (1996), Advances in Knowledge Discovery and Data Mining, MIT Press, Cambridge, MA."},{"key":"key2022031220114823800_b11","unstructured":"Fern\u00e1ndez, L.M. (1999), \u201cOverview of methodologies for building ontologies\u201d, Proceedings of the IJCAI\u201099 Workshop on Ontologies and Problem\u2010Solving Methods, KRR5, 31 July\u20106 August, Stockholm."},{"key":"key2022031220114823800_b12","unstructured":"Fortuna, B. (2004), \u201cKernel canonical correlation analysis with applications\u201d, Proceedings of the 7th International multi\u2010conference Information Society, IS\u20102004, Institut Jozef Stefan, Ljubljana."},{"key":"key2022031220114823800_b13","unstructured":"Grobelnik, M. and Mladenic, D. (2002), \u201cEfficient visualization of large text corpora\u201d, Proceedings of the seventh TELRI Seminar, 26\u201029 September, Dubrovnik."},{"key":"key2022031220114823800_b14","unstructured":"Grobelnik, M. and Mladenic, D. (2004), \u201cVisualization of news articles\u201d, Informatica journal, Vol. 28 No. 4, p. 32."},{"key":"key2022031220114823800_b15","unstructured":"Hand, D.J., Mannila, H. and Smyth, P. (2001), Principles of Data Mining (Adaptive Computation and Machine Learning), MIT Press, Cambridge, MA."},{"key":"key2022031220114823800_b16","doi-asserted-by":"crossref","unstructured":"Hastie, T., Tibshirani, R. and Friedman, J.H. (2001), The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer Series in Statistics, Springer Verlag, New York, NY.","DOI":"10.1007\/978-0-387-21606-5"},{"key":"key2022031220114823800_b17","unstructured":"Heyer, G., L\u00e4uter, M., Quasthoff, U., Wittig, T. and Wolff, C. (2001), \u201cLearning relations using collocations\u201d, Proceedings of IJCAI\u20102001 Workshop on Ontology Learning, 5 August, Seattle, WA."},{"key":"key2022031220114823800_b18","doi-asserted-by":"crossref","unstructured":"Hotho, A., Staab, S. and Stumme, G. (2003), \u201cExplaining text clustering results using semantic structures\u201d, Proceedings of ECML\/PKDD 2003, Cavtak\u2010Dubrovnik, Croatia, 22\u201026 September, LNAI 2838, Springer Verlag, Heidelberg, pp. 217\u201028.","DOI":"10.1007\/978-3-540-39804-2_21"},{"key":"key2022031220114823800_b19","doi-asserted-by":"crossref","unstructured":"Jackson, P. and Moulinier, I. (2002), Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization, John Benjamins Publishing Co., Menlo Park, CA.","DOI":"10.1075\/nlp.5(1st)"},{"key":"key2022031220114823800_b20","unstructured":"Koller, D. and Sahami, M. (1997), \u201cHierarchically classifying documents using very few words\u201d, Proceedings of the 14th International Conference on Machine Learning, ICML\u201097, Morgan Kaufmann, San Francisco, CA, pp. 170\u20108."},{"key":"key2022031220114823800_b21","unstructured":"Leskovec, J., Grobelnik, M. and Milic\u2010Frayling, N. 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