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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1590

Title: A carrot for knowledge management: Automatic generation of draft reports as a benefit to encourage contribution to KM systems
Authors: Gunawardena, Sidath
Weber, Rosina O.
Keywords: Case representation;Knowledge artifacts;Knowledge management
Issue Date: 17-Apr-2007
Publisher: Drexel University. College of Information Science and Technology.
Series/Report no.: IST Research Day 2007 posters
Abstract: Many Knowledge Management (KM) systems underperform due to lack of user contribution. Users who do not see benefits commensurate to the effort it takes to contribute to the KM system will not fully participate. How to encourage users to share knowledge is a key issue of KM. In many organizational environments, report generation is a regular and burdensome task. Where a KM system exists, this is a duplication of work. We propose a methodology that shows the user a tangible benefit of participating in the KM system: a lessening of the burden of another onerous task, that of report generation. We applied this methodology in a deployed KM system built to cater to the needs of a distributed scientific community. The scientists contribute knowledge artifacts about their research to the KM system in the form of Learning Units (LUs). We use a representation for the fields of the LU such that it leads the user to enter their findings in a structured manner. Associations between LUs’s fields create the overall flow for a report. To generate the draft reports we use template-based natural language generation. Selecting which template to apply is determined by rules generated from examining a subset of units in the system. The resulting drafts still require fine tuning. The user has to address issues such as tense consistency, redundancy, and incompleteness. However, our goal is to relieve the user of the effort required to gather and structure the information; to provide a draft, not the end product.
URI: http://hdl.handle.net/1860/1590
Appears in Collections:Research Day Posters (IST)

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