Enhancing Information Retrieval Capabilities of Knowledge Management Systems

Abstract

User support services face complex problems in the efficient and satisfactory delivery of services to users. Knowledge management (KM) principles can be effectively implemented within this organizational context to support efficient and effective problem solving to improve service delivery to the users. A KM system with good information retrieval capabilities is critical in empowering front line employees to utilize organizational knowledge repositories for better service delivery. The purpose of this chapter is to present different aspects of the major information retrieval techniques that can be used in a user services environment and to propose new models to enhance retrieval capabilities of KM systems. The authors discuss the basic elements that make up an information retrieval system including metadata, controlled, and uncontrolled vocabularies. The authors also propose three experimental search interfaces for enhancing information retrieval capabilities of a KM system. The first uses a thesaurus for enhanced retrieval features through better query formulation and browsing of search results; the second uses the tag cloud concept to present thesaurus terms; and the third combines the structure of a controlled vocabulary with the flexibility of a folksonomy and tag cloud, thus incorporating the beneficial aspects of both uncontrolled and controlled vocabularies to support retrieval within a heterogeneous corporate environment.