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Twarql: Tapping into the Wisdom of the Crowd

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Title Twarql: Tapping into the Wisdom of the Crowd
Author , ,
Venue Triplification Challenge 2010
Book 6th International Conference on Semantic Systems (I-SEMANTICS)
Year 2010
Resource Type ConferencePaper
Keyword(s) Semantic Web,twitter,Linked Open Data,Brand tracking,Social media,Real time
Full Citation P. Mendes, P. Kapanipathi, and A. Passant, 'Twarql: Tapping into the Wisdom of the Crowd,'. Triplification Challenge 2010 at 6th International Conference on Semantic Systems (I-SEMANTICS), Graz, Austria, 1-3 September 2010. (Winner of Triplification Challenge 2010)
Abstract Twarql is an infrastructure translating microblog posts from Twitter as Linked Open Data in real-time. The approach employed in Twarql can be summarized as follows: (1) ex- tract content (e.g. entity mentions, hashtags and URLs) from microposts streamed from Twitter; (2) encode content in RDF using shared and well-known vocabularies (FOAF, SIOC, MOAT, etc.); (3) enable structured querying of mi- croposts with SPARQL; (4) enable subscription to a stream of microposts that match a given query; and (5) enable scal- able real-time delivery of streaming annotated data using sparqlPuSH. In this paper we use a brand tracking scenario to demonstrate how Twarql enables exibility in handling the information overload of those interested in collectively analyzing microblog data for sensemaking. The dataset pro- duced is shared as Linked Data. Twarql is available as open source and can be easily deployed or extended for monitor- ing Twitter data in various contexts such as brand tracking, disaster relief management, stock exchange monitoring, etc.

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