Book Chapter or Section
Information retrieval has become very popular over the last decade with the advent of the Web. Nevertheless, searching on the Web is very different to searching on smaller, often more structured collections such as digital libraries, local Web sites and intranets. One way of helping the searcher locating the right information for a specific information need is by providing well-structured domain knowledge to assist query modification and navigation. There are two challenges: acquiring the domain knowledge and adapting it automatically to the specific interests of the user community. We will outline how a domain model can be automatically acquired using search engine query logs and continuously be updated using methods resembling ant colony behaviour.
Udo Kruschwitz, M-Dyaa Albakour, Jinzhong Niu, Johannes Leveling, Nikolaos Nanas, Yunhyong Kim, Dawei Song, Maria Fasli, and Anne De Roeck. Moving towards adaptive search in digital libraries. In Advanced Language Technologies for Digital Libraries, volume 6699 of Lecture Notes in Computer Science (LNCS), pages 41–60. Springer, 2011.