This paper investigates how text analysis and classification techniques can be used to
enhance e-government, typically law enforcement agencies' efficiency and effectiveness by …

Building expertise profiles in global online communities is a critical step in leveraging the
range of expertise available in the global knowledge economy. In this paper we introduce a …

The Semantic Web is a new area of research and development in the field of computer
science that aims to make it easier for computers to process the huge amount of information …

The question papers of many academic institutions contain a significant part of descriptive
type questions. Generally, these question papers follow a fixed pattern. Normally, the …

Clustering is" the method of organizing objects into groups whose members are related in
some way". A cluster is therefore a collection of objects which are coherent internally, but …

Document classification is an area of great importance for which many classification
methods have been developed. However, most of these methods cannot generate time …

CAPTCHAs exploit the gap in the ability between a human and a machine to understand the
semantics of specific multimedia content, with vast applications in computer security. In this …

The following is a summary of the invention in order to provide a basic understanding of
Some aspects of the inven tion. This summary is not intended to identify key/critical elements …

Phrase query evaluation is an important task of every search engine. Optimizing the query
evaluation time for phrase queries is the biggest threat for the current search engine …

The effective use of corporate memory is becoming increasingly important because every
aspect of e‐business requires access to information repositories. Unfortunately, less‐than …