Semantic snippets via query-biased ranking of linked data entities

Abstract : In this thesis, we introduce a new interactive artifact for the SERP: the "Semantic Snippet". Semantic Snippets rely on the coexistence of the two webs to facilitate the transfer of knowledge to the user thanks to a semantic contextualization of the user's information need. It makes apparent the relationships between the information need and the most relevant entities present in the web page.
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Mazen Alsarem. Semantic snippets via query-biased ranking of linked data entities. Web. Université de Lyon; Universität Passau, 2016. English. ⟨NNT : 2016LYSEI044⟩. ⟨tel-01327769v2⟩

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