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Toward social, structured and semantic search

  • INRIA Institut National de Recherche en Informatique et en Automatique
  • Université Paris-Saclay
  • University of Rennes

Résultats de recherche: Contribution à un journalArticle de conférenceRevue par des pairs

Résumé

Social content such as social network posts, tweets, news articles and more generally web page fragments is often structured. Such social content is also frequently enriched with annotations, most of which carry semantics, either by collaborative effort or from automatic tools. Searching for relevant information in this context is both a basic feature for the users and a challenging task.We present a data model and a preliminary approach for answering queries over such structured, social and semantic-rich content, taking into account all dimensions of the data in order to return the most meaningful results.

langue originaleAnglais
journalCEUR Workshop Proceedings
Volume1310
étatPublié - 1 janv. 2014
EvénementWorkshop on Surfacing the Deep and the Social Web, SDSW 2014, Co-located with the 13th International Semantic Web Conference, ISWC 2014 - Riva del Garda, Trentino, Italie
Durée: 19 oct. 2014 → …

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