Exploratory search on the top of DBpedia chapters with the Discovery Hub application

Nicolas Marie 1, 2 Fabien Gandon 1 Damien Legrand 1 Myriam Ribière 2
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 Alcatel-Lucent Bell Labs France [Nozay]
Abstract : Discovery Hub is an exploratory search engine that helps users explore topics of interests for learning and leisure purposes.It makes use of a semantic spreading activation algorithm coupled with a sampling technique so that it does not require a preprocessing step. 1 Linked data based exploratory search and recommendation Exploratory search [2] systems are designed to assist users during expensive cognitive consuming search tasks such as learning or topic investigation. Theyprovide a high level of assistance during the navigation in the results space and advanced results explanations. In the past few years several works showed the interest of using linked datadatasets, and especially DBpedia 1 , for resources discovery in recommender and exploratory search systems. For instance Seevl 2 is a band recommender helping the discovery of musical content and artists on Youtube thanks to a recommendation algorithm and a faceted browsing functionality. MORE 3 is a movie recommender in the form of a Facebook application that performs film recommendations thanks to DBpedia.Aemoo 4 is an exploratory search system that offers a filtered view on the DBpediagraph and gives explanations on the relations between the resources shown to the user.Yovisto 5 is a video platform offeringan exploratory search featurethat proposes a ranked list of related topic besides search results.
Keywords : Semantic web linked data DBpedia spreading activation semantic spreading activation exploratory search system discovery engine
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Nicolas Marie, Fabien Gandon, Damien Legrand, Myriam Ribière. Exploratory search on the top of DBpedia chapters with the Discovery Hub application. European Semantic Web Conference, ESWC 2013, May 2013, Montpellier, France. ⟨10.1007/978-3-642-41242-4_21⟩. ⟨hal-01188678⟩

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