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Browsing-Oriented Semantic Faceted Search

Identifieur interne : 000366 ( Main/Exploration ); précédent : 000365; suivant : 000367

Browsing-Oriented Semantic Faceted Search

Auteurs : Andreas Wagner [Allemagne, États-Unis] ; Günter Ladwig [Allemagne, États-Unis] ; Thanh Tran [Allemagne, États-Unis]

Source :

RBID : ISTEX:D9A6DA2AE9B4CFB744F7D93A326330339535FBD2

English descriptors

Abstract

Abstract: Faceted search enables users to browse and discover relevant items from a large collection such as the Web of data. Existing faceted search solutions assume a precise information need, and thus optimise relevance, interestingness, and costs of fulfilling an information need. In this paper, we propose a complementary solution. Instead of assuming a search scenario (i.e., a user has a precise information need), our solution targets a browsing scenario (i.e., a user has a fuzzy need). We aim to support users in exploring an unknown collection of items, thereby allowing them to discover new or unfamiliar items of interest. Our approach comprises mechanisms for grouping facets and facet values and facet ranking. Via a task-based evaluation, we demonstrate that the proposed solution enables more effective browsing compared to the state-of-the-art, given fuzzy information needs.

Url:
DOI: 10.1007/978-3-642-23088-2_22


Affiliations:


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


Le document en format XML

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