{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T08:23:07Z","timestamp":1758961387416,"version":"3.41.2"},"reference-count":10,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2005,12,1]],"date-time":"2005-12-01T00:00:00Z","timestamp":1133395200000},"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":[[2005,12,1]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p><jats:italic>Unstructured knowledge management (UKM) becomes indispensable for the support of knowledge work. However, unstructured knowledge is inconvenient and difficult for sharing, organizing and acquisition. This paper seeks to present the development and implementation of a multi\u2010facet taxonomy system (MTS) for effective management of unstructured knowledge.<\/jats:italic><\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p><jats:italic>Multi\u2010facet taxonomy is a multi\u2010dimensional taxonomy which allows the classification of knowledge assets under multiple concepts at any levels of abstraction. The MTS system is based on five components: multi\u2010dimensional taxonomy structure, thesaurus model, automatic classification mechanism, intelligent searching, and self\u2010maintenance of taxonomy, respectively. Artificial intelligence (AI) and natural language process (NLP) technologies are used in the development of the MTS.<\/jats:italic><\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p><jats:italic>With the successful development of the MTS, the accuracy of categorization of unstructured knowledge is significantly improved. It also allows an organization to capture the valuable tacit knowledge embedded in the unstructured knowledge assets. This helps an organization to explore business opportunities for continuous business improvement.<\/jats:italic><\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p><jats:italic>The implementation of the MTS system not only dramatically reduces the human effort, time and cost for UKM but also allows an organization to capture valuable knowledge embedded in unstructured knowledge assets.<\/jats:italic><\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p><jats:italic>As the knowledge work and task become more complex and are dynamically changing with time and involve multiple concepts, the MTS addresses the inadequacy of conventional single dimensional taxonomy for managing unstructured knowledge. The self\u2010maintenance capability of the MTS ensures that the taxonomy is up\u2010to\u2010date and new knowledge is classified automatically for better knowledge sharing and acquisition.<\/jats:italic><\/jats:p><\/jats:sec>","DOI":"10.1108\/13673270510629972","type":"journal-article","created":{"date-parts":[[2007,1,15]],"date-time":"2007-01-15T19:29:24Z","timestamp":1168889364000},"page":"76-91","source":"Crossref","is-referenced-by-count":14,"title":["A multi\u2010facet taxonomy system with applications in unstructured knowledge management"],"prefix":"10.1108","volume":"9","author":[{"given":"C.F.","family":"Cheung","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"W.B.","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Y.","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022012420100515800_b1","doi-asserted-by":"crossref","unstructured":"Aamodt, A. and Plaza, E. (1994), \u201cCase\u2010based reasoning: foundational issues, methodological variations, and system approaches\u201d, AI Communications, Vol. 7 No. 1, pp. 39\u201059.","DOI":"10.3233\/AIC-1994-7104"},{"key":"key2022012420100515800_b2","doi-asserted-by":"crossref","unstructured":"Austin, D. (1986), \u201cVocabulary control and information technology\u201d, Aslib Proceedings, Vol. 38 No. 1, pp. 1\u201015.","DOI":"10.1108\/eb050993"},{"key":"key2022012420100515800_b3","doi-asserted-by":"crossref","unstructured":"Cheung, C.F., Lee, W.B., Wang, W.M., Chu, K.F. and To, S. (2003), \u201cA multi\u2010perspective knowledge\u2010based system for customer service management\u201d, Expert Systems with Applications, Vol. 24 No. 4, pp. 455\u201068.","DOI":"10.1016\/S0957-4174(02)00193-8"},{"key":"key2022012420100515800_b4","unstructured":"Conway, S. and Sligar, C. (2002), Unlocking Knowledge Assets, Microsoft Press, Redwood, WA."},{"key":"key2022012420100515800_b5","unstructured":"ISO 2788 (1986), Documentation \u2013 Guidelines for the Establishment and Development of Monolingual Thesauri, 2nd ed., Ottawa."},{"key":"key2022012420100515800_b6","unstructured":"ISO 5964 (1985), Documentation \u2013 Guidelines for the Establishment and Development of Multilingual Thesauri, Ottawa."},{"key":"key2022012420100515800_b7","doi-asserted-by":"crossref","unstructured":"Kazimierczak, J. (1990), \u201cAn approach to natural language processing in the rule\u2010based expert system\u201d, ACM Conference on Computer Science, ACM, Press, New York, NY, pp. 215\u2010222.","DOI":"10.1145\/100348.100381"},{"key":"key2022012420100515800_b8","doi-asserted-by":"crossref","unstructured":"Sacco, G.M. (2000), \u201cDynamic taxonomies: a model for large information bases\u201d, IEEE Transactions on Knowledge and Data Engineering, Vol. 12 No. 3, pp. 468\u201079.","DOI":"10.1109\/69.846296"},{"key":"key2022012420100515800_b9","unstructured":"Stensmo, M. (2003), \u201cUnstructured information management \u2013 an overview of enterprise search, text analysis and visualization market\u201d, Infosphere AB, available at: www.infosphere.se\/."},{"key":"key2022012420100515800_b10","unstructured":"Wyllie, J. (2003), \u201cTaxonomies: frameworks for corporate knowledge \u2013 the shape of things to come?\u201d, A report in the Knowledge Insight Series, Ark Group in association with David Skyrme Associates, Newbury."}],"container-title":["Journal of Knowledge Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/13673270510629972","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/13673270510629972\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/13673270510629972\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T00:10:58Z","timestamp":1753402258000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/jkm\/article\/9\/6\/76-91\/267064"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,12,1]]},"references-count":10,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2005,12,1]]}},"alternative-id":["10.1108\/13673270510629972"],"URL":"https:\/\/doi.org\/10.1108\/13673270510629972","relation":{},"ISSN":["1367-3270"],"issn-type":[{"type":"print","value":"1367-3270"}],"subject":[],"published":{"date-parts":[[2005,12,1]]}}}