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Moving towards adaptive search in digital libraries

Kruschwitz, Udo , Albakour, M-Dyaa , Niu, Jinzhong , Leveling, Johannes orcid logoORCID: 0000-0003-0603-4191, Nanas, Nikolaos , Kim, Yunhyong , Song, Dawei , 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

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 Section
Uncontrolled Keywords:search engines; query logs; domain knowledge
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:http://www.springer.com/computer/database+manageme...
Copyright Information:© 2011 Springer-Verlag. The original publication is available at www.springer.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16443
Deposited On:24 Aug 2011 10:54 by Shane Harper . Last Modified 26 Oct 2018 11:23

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