A scalable real-time search engine for fast retrieval of social media content

Yong Seok Yang, Kwanho Kim, Beom Suk Chung, Jonghun Park

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

2 Scopus citations

Abstract

The world wide web of today publishes a great number of real-time content, causing the increasing need for a differentiated way of searching. In this paper, three issues related to retrieving real-time content are presented, and their applications are proposed. First, the characteristics of real-time content, as well as the concept of real-time search are introduced. Second, the real-time technologies that enable real-time search are described. Finally, a platform for application services utilizing real-time search is proposed.

Original languageEnglish
Title of host publicationUbiCrowd'11 - Proceedings of the 2nd International Workshop on Ubiquitous Crowdsouring
Pages21-24
Number of pages4
DOIs
StatePublished - 2011
Event2nd International Workshop on Ubiquitous Crowdsourcing, UbiCrowd'11, Co-located with UbiComp 2011 - Beijing, China
Duration: 18 Sep 201118 Sep 2011

Publication series

NameUbiCrowd'11 - Proceedings of the 2nd International Workshop on Ubiquitous Crowdsouring

Conference

Conference2nd International Workshop on Ubiquitous Crowdsourcing, UbiCrowd'11, Co-located with UbiComp 2011
Country/TerritoryChina
CityBeijing
Period18/09/1118/09/11

Keywords

  • real-time
  • search
  • search engine

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