Literature Review: Information Filtering for Knowledge Management

It is already realized that we have entered the knowledge era: A time when the economic value of knowledge has become greater than the value of physical products. In this context, Knowledge Management (KM), i.e. the combination of management principles and technology that seeks to improve the performance of individuals and organizations by maintaining and leveraging the value of knowledge assets, has emerged into a managerial megatrend. We present the foundational concepts of Knowledge Management and based on them we argue that information plays an important role to the creation of new knowledge and to its dissemination. The importance of information is also revealed by existing approaches to KM, like

knowledge-based systems. We investigate however, the domain of Information Filtering (IF) and its pottential application to KM. The foundations of IF are discussed in conjunction with the more traditional technologies of Information Retrieval and Text Categorization. A number of existing IF systems and agents are then presented from the point of view of KM. We distinguish between systems that have the ability to adapt, systems that have the ability to evolve and finally systems that combine global evolution

with local learning.

Keywords:

Knowledge management, information retrieval, text categorization, term weighting, information filtering, intelligent information agents, adaptation, evolution.