This paper presents an overview of automatic methods for building domain knowledge
structures (domain models) from text collections. Applications of domain models have a long …

In the last decade, many data mining techniques have been proposed for fulfilling various
knowledge discovery tasks in order to achieve the goal of retrieving useful information for …

Adaptive information filtering is a challenging and fascinating problem. It requires the
adaptation of a representation of a user's multiple interests to various changes in them. We …

Modern search engines employ a number of interactive features to assist users in exploring
the document collection and expressing their information needs. Providing these features …

The performance of a personalised search system largely depends upon the ability to build
user profiles which accurately capture the user's search interests. However, many …

An information filtering (IF) system monitors an incoming document stream to find the
documents that match the information needs specified by the user profiles. To learn to use …

The performance of a personalised search system largely depends upon the ability to build
user profiles which accurately capture the user's search interests. However, many …

This paper presents an overview of automatic methods for building domain knowledge
structures (domain models) from text collections. Applications of domain models have a long …