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.