Moving towards adaptive search in digital libraries
Kruschwitz, Udo and Albakour, M-Dyaa and Niu, Jinzhong and Leveling, Johannes and Nanas, Nikolaos and Kim, Yunhyong and Song, Dawei and Fasli, Maria and De Roeck, Anne (2011) Moving towards adaptive search in digital libraries. In: Advanced Language Technologies for Digital Libraries. Lecture Notes in Computer Science, 6699 . Springer-Verlag. ISBN 978-3-642-23160-5
Full text available as:
Search applications have become very popular over the last two decades, one of the main drivers being 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 in such a collection is by providing well-structured domain knowledge to assist query
modification and navigation. There are two main challenges which we will both address in this chapter: acquiring the domain knowledge and adapting it automatically to the specific interests of the user community. We will outline how in digital libraries a domain model can automatically be acquired using search engine query logs and how it can be continuously updated using methods resembling ant colony behaviour.
Archive Staff Only: edit this record