Moving towards adaptive search in digital libraries

Kruschwitz, U., Albakour, M.-D., Niu, J., Leveling, J., Nanas, N., Kim, Y. , Song, D., Fasli, M. and De Roeck, A. (2009) Moving towards adaptive search in digital libraries. In: 2009 International Conference on Advanced Language Technologies for Digital Libraries, Viareggio/Trento, Italy, 15 Jun 2009, pp. 41-60. (doi: 10.1007/978-3-642-23160-5_4)

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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.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Kim, Dr Yunhyong
Authors: Kruschwitz, U., Albakour, M.-D., Niu, J., Leveling, J., Nanas, N., Kim, Y., Song, D., Fasli, M., and De Roeck, A.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
College/School:College of Arts & Humanities > School of Humanities > Information Studies

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