Skip to main navigation Skip to search Skip to main content

Social, structured and semantic search

  • INRIA Institut National de Recherche en Informatique et en Automatique
  • University of Rennes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Social content such as blogs, tweets, news etc. is a rich source of interconnected information. We identify a set of requirements for the meaningful exploitation of such rich content, and present a new data model, called S3, which is the first to satisfy them. S3 captures social relationships between users, and between users and content, but also the structure present in rich social content, as well as its semantics. We provide the first top-κ keyword search algorithm taking into account the social, structured, and semantic dimensions and formally establish its termination and correctness. Experiments on real social networks demonstrate the efficiency and qualitative advantage of our algorithm through the joint exploitation of the social, structured, and semantic dimensions of S3.

Original languageEnglish
Title of host publicationAdvances in Database Technology - EDBT 2016
Subtitle of host publication19th International Conference on Extending Database Technology, Proceedings
EditorsIoana Manolescu, Evaggelia Pitoura, Amelie Marian, Sofian Maabout, Letizia Tanca, Georgia Koutrika, Kostas Stefanidis
PublisherOpenProceedings.org
Pages29-40
Number of pages12
ISBN (Electronic)9783893180707
DOIs
Publication statusPublished - 1 Jan 2016
Event19th International Conference on Extending Database Technology, EDBT 2016 - Bordeaux, France
Duration: 15 Mar 201618 Mar 2016

Publication series

NameAdvances in Database Technology - EDBT
Volume2016-March
ISSN (Electronic)2367-2005

Conference

Conference19th International Conference on Extending Database Technology, EDBT 2016
Country/TerritoryFrance
CityBordeaux
Period15/03/1618/03/16

Fingerprint

Dive into the research topics of 'Social, structured and semantic search'. Together they form a unique fingerprint.

Cite this