Knowledge management systems: issues, challenges, and benefits
Communications of the AIS
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice
If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practice
Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Knowledge portals and the emerging digital knowledge workplace
IBM Systems Journal
Genre, task, topic and time: facets of personal digital document management
CHINZ '05 Proceedings of the 6th ACM SIGCHI New Zealand chapter's international conference on Computer-human interaction: making CHI natural
Structuring cross-organizational knowledge sharing
Proceedings of the 2007 international ACM conference on Supporting group work
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While there are many aspects to managing corporate knowledge, one key issue is how to organize corporate documents into categories of interest. In this paper, we focus on using user assisted text classification in conjunction with a web portal, multiple document management systems and an ontology, to provide a powerful solution for organizing information about a company's technology. We propose a system that interacts with an author using an automatic text classifier to suggest controlled keywords to be used as metadata. The proposed approach does not require professional librarians or that the end users have extensive training. The use of a controlled vocabulary allows for a more consistent description of corporate documents, and promotes easier access by people across the company. It is easier to find similar documents which use different nomenclature. Finally, the interactive nature of the system results in a more correct and precise description of each document than a fully automatic system would.