Connecting People using Latent Semantic Analysis for Knowledge Sharing

Abstract

A shift from technology-oriented knowledge management to people-oriented knowledge management is indispensable. To achieve this, organizations must understand the nature of knowledge. In this work, knowledge has been found to be both a process and a collection of artifacts. This makes knowledge and the knower to be two inseparable entities. Consequently, the appropriate way to share both the explicit and the implicit knowledge components is through people-with-people connection. However, from existing barriers like location and time differences among others, people-with-documents connection is proposed as an intermediate step. The investigation of latent semantic analysis (LSA) in achieving people-with-documents connection has revealed decreased precision performance at higher recall performance. A solution to include annotations in the technique has been proposed to refine knowledge representation into the LSA technique. Annotation process based on domain ontologies has been proposed to compliment the LSA knowledge mining process from documents with domain knowledge represented by ontologies