Kruschwitz, Udo; Albakour, M-Dyaa; Niu, Jinzhong; Leveling, Johannes; Nanas, Nikolaos; Kim, Yunhyong; Song, Dawei; Fasli, Maria and De Roeck, Anne
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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:||Book Chapter|
|Copyright Holders:||2011 Springer Verlag Berlin Heidelberg|
|Project Funding Details:||
|Academic Unit/School:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Mary Mcmahon|
|Date Deposited:||27 Nov 2012 17:00|
|Last Modified:||30 Nov 2016 02:01|
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