Toward social, structured and semantic search

Raphaël Bonaque; Bogdan Cautis; François Goasdoué; Ioana Manolescu

Toward social, structured and semantic search

Raphaël Bonaque
, Bogdan Cautis
, François Goasdoué
, Ioana Manolescu

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

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	1310
Publication status	Published - 1 Jan 2014
Event	Workshop 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, Italy Duration: 19 Oct 2014 → …

Cite this

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title = "Toward social, structured and semantic search",

abstract = "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.",

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TY - JOUR

T1 - Toward social, structured and semantic search

AU - Bonaque, Raphaël

AU - Cautis, Bogdan

AU - Goasdoué, François

AU - Manolescu, Ioana

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

M3 - Conference article

AN - SCOPUS:84919800441

SN - 1613-0073

VL - 1310

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - Workshop on Surfacing the Deep and the Social Web, SDSW 2014, Co-located with the 13th International Semantic Web Conference, ISWC 2014

Y2 - 19 October 2014

ER -

Toward social, structured and semantic search

Abstract

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