@twitter Mining #Microblogs Using #Semantic Technologies
作者： Herbert Mühlburger , Behnam Taraghi , Thomas Altmann , Selver Softic , Martin Ebner
DOI:
关键词: Linked data 、 Semantic computing 、 FOAF 、 RDF 、 World Wide Web 、 Knowledge extraction 、 SPARQL 、 Microblogging 、 Data science 、 Semantic technology 、 Computer science 、 Social media
摘要: In this paper we report about our current and ongoi ng research efforts aiming at knowledge discovery, offline social data mining entity extraction based upon semantic technologies. Furthe r are to provide the scientific architecture paradigm for building s emantic applications that rely on data. early stage work focus es from Twitter 1 as currently most popular fastest growing microblo gging platform. realm of implemented l ike Grabeeter 2 storing searching caching STAT infr astructure uses standards like RDF (SIOC, FOAF), SPARQL existing services Sinidice 3 Linked Data silos DBPedia 4 or GeoNames 5 well. They represent parts novel intended be introduced here.
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