MozartV1, Main, Exploration, bibRecord, 000662

Moving towards Adaptive Search in Digital Libraries

Identifieur interne : 000662 ( Main/Exploration ); précédent : 000661; suivant : 000663

Moving towards Adaptive Search in Digital Libraries

Auteurs : Udo Kruschwitz [Royaume-Uni] ; M-Dyaa Albakour [Royaume-Uni] ; Jinzhong Niu [Royaume-Uni] ; Johannes Leveling [Irlande (pays)] ; Nikolaos Nanas [Grèce] ; Yunhyong Kim [Royaume-Uni] ; Dawei Song [Royaume-Uni] ; Maria Fasli [Royaume-Uni] ; Anne De Roeck [Royaume-Uni]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.

RBID : ISTEX:847BBA6B2F746FFFD6F1B998C4F15108D73289F1

Abstract

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.

Url:

https://api.istex.fr/document/847BBA6B2F746FFFD6F1B998C4F15108D73289F1/fulltext/pdf

DOI: 10.1007/978-3-642-23160-5_4

Affiliations:

Grèce, Irlande (pays), Royaume-Uni

Links toward previous steps (curation, corpus...)

to stream Istex, to step Corpus: 000700
to stream Istex, to step Curation: 000556
to stream Istex, to step Checkpoint: 000229
to stream Main, to step Merge: 000665
to stream Main, to step Curation: 000662

Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
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Moving towards Adaptive Search in Digital Libraries

Moving towards Adaptive Search in Digital Libraries

Source :

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri