Our publication on “@twitter Mining#Microblogs Using #Semantic Technologies” at this year 6th Workshop on Semantic Web Applications and Perspectives is now online available.
In this paper we report about our current and ongoing research efforts aiming at knowledge discovery, offline social data mining and social entity extraction based upon semantic technologies. Further we are aiming to provide the scientific architecture paradigm for building semantic applications that rely on social data. In this early stage our work focuses on data from Twitter as currently most popular and fastest growing microblogging platform. In the realm of our research we implemented applications like Grabeeter for storing searching and caching the social data and STAT infrastructure that uses semantic standards like RDF (SIOC, FOAF), SPARQL and existing semantic services as Sinidice and Linked Data silos as DBPedia or GeoNames as well. They represent parts of novel architecture paradigm for semantic social applications intended to be introduced here.
Reference: Softic, S.; Ebner, M.; Mühlburger, H.; Altmann, T.; Taraghi, B., (2010) @twitter Mining #Microblogs Using #Semantic Technologies, in: 6th Workshop on Semantic Web Applications and Perspectives (SWAP 2010), p. 1 – 12, https://www.inf.unibz.it/krdb/events/swap2010/page10/page10.html (last access Oct. 2010)