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Moving towards adaptive search in digital libraries

Kruschwitz, U and Albakour, MD and Niu, J and Leveling, J and Nanas, N and Kim, Y and Song, D and Fasli, M and De Roeck, A (2011) Moving towards adaptive search in digital libraries. In: UNSPECIFIED, ? - ?.

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Abstract

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. © 2011 Springer-Verlag.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 15 Aug 2012 11:32
Last Modified: 17 Aug 2017 18:09
URI: http://repository.essex.ac.uk/id/eprint/3634

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