Applications of Latent Semantic Analysis to Lessons Learned Systems

Michael J. Strait, Jacqueline A. Haynes, and Peter W. Foltz

This paper will present several examples of the application of Latent Semantic Analysis (LSA) to practical problems knowledge acquisition, management and assessment. The purpose of this presentation is to make other knowledge management (KM) and artificial intelligence (AI) researchers aware of the value of LSA as an automated technique for improving the utility of Lessons Learned (LL) and similar knowledge and information management systems.

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