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  • × author_ss:"Foo, S."
  1. Ding, Y.; Foo, S.: Ontology research and development : part 1 - a review of ontology generation (2002) 0.05
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  2. Ding, Y.; Chowdhury, G.C.; Foo, S.: Bibliometric cartography of information retrieval research by using co-word analysis (2001) 0.04
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  3. Ding, Y.; Chowdhury, G.C.; Foo, S.: Incorporating the results of co-word analyses to increase search variety for information retrieval (2000) 0.04
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  4. Ding, Y.; Foo, S.: Ontology research and development : part 2 - a review of ontology mapping and evolving (2002) 0.04
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  5. Ding, Y.; Chowdhury, G.; Foo, S.: Organsising keywords in a Web search environment : a methodology based on co-word analysis (2000) 0.02
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  6. Ding, Y.; Jacob, E.K.; Zhang, Z.; Foo, S.; Yan, E.; George, N.L.; Guo, L.: Perspectives on social tagging (2009) 0.02
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  7. Ding, Y.; Jacob, E.K.; Fried, M.; Toma, I.; Yan, E.; Foo, S.; Milojevicacute, S.: Upper tag ontology for integrating social tagging data (2010) 0.02
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  8. Liew, C.L.; Foo, S.; Chennupati, K.R.: ¬A proposed integrated environment for enhanced user interaction and value-adding of electronic documents : an empirical evaluation (2001) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.1, S.22-35
  9. Sharma, R.S.; Foo, S.; Morales-Arroyo, M.A.: Developing corporate taxonomies for knowledge auditability : a framework for good practices (2008) 0.01
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    Abstract
    The organisation of knowledge for exploitation and re-use in the modern enterprise is often a most perplexing challenge. The entire knowledge management life-cycle (for example - create, capture, organize, store, search, and transfer) is impacted by the organisation of intellectual capital into a corporate taxonomy or at the least a knowledge map (often incorrectly used interchangeably). Determining the extent to which such an objective is achieved is the focus of what is known as a knowledge audit. In this practice-oriented article, the authors review the fundamentals of creating a taxonomy, the use of metadata in a necessary process known as classification and the role of expertise locators where the knowledge is not explicit but resides within experts in the form of tacit knowledge. The authors conclude with a framework for developing a corporate taxonomy and how such a project may be executed. The conceptual contribution of this article is the postulation that corporate taxonomies that are designed to facilitate knowledge audits lead to greater organizational impact.