Twarql

Twarql: Twitter Feeds through SPARQL

Introduction

Our approach encompasses the following steps:

• extract content (entity mentions, hashtags and URLs) from microposts;
• encode content in a structured format (RDF) using shared vocabularies (FOAF, SIOC, MOAT, etc.);
• enable structured querying of microposts (SPARQL);
• enable subscription to a stream of microposts that match a given query (Concept Feeds);
• enable scalable real-time delivery of streaming data (SparqlPuSH).

Architecture

• See the workflow between the components of the architecture

Tweet Annotation

• extract content (entity mentions, hashtags and URLs) from microposts;
• encode content in a structured format (RDF) using shared vocabularies (FOAF, SIOC, MOAT, etc.);

Concept Feeds

• enable structured querying of microposts (SPARQL);
• enable subscription to a stream of microposts that match a given query;

SPARQLPuSH

• More about the SPARQL Push implementation: Introducing sparqlPuSH, open source implementation

Twarql API

http://knoesis1.wright.edu/twarql

• http://knoesis1.wright.edu/twarql/search?keyword=k1,...,kn&output=<output type>
  • output: tweets, entities, triples

• http://knoesis1.wright.edu/twarql/search?keyword=k1,...,kn&output=<output type>
  • D2R

• http://knoesis1.wright.edu/twarql/register?query=<sparql query>&id=<concept feed id>
  • #id

• http://knoesis1.wright.edu/twarql/stream?keyword=k1,...,kn&output=<output type>