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dc.contributor.authorWagner, Claudia-
dc.date.accessioned2011-04-09T16:02:42Z-
dc.date.available2011-04-09T16:02:42Z-
dc.date.issued2010-
dc.identifier.otherDOI:10.1007/978-3-642-13489-0_50-
dc.identifier.otherDOI:10.1007/978-3-642-13489-0_50-
dc.identifier.urihttp://swig.hpclab.ceid.upatras.gr/dspace-ss-demo/handle/123456789/12-
dc.descriptionBest PhD Symposium Award at ESWC 2010en_US
dc.description.abstractAlthough one might argue that little wisdom can be conveyed in messages of 140 characters or less, this PhD research sets out to explore if and what kind of knowledge can be acquired from different aggregations of social awareness streams. The expected contribution of this research is a network-theoretic model for defining, comparing and analyzing different kinds of social awareness streams and an experimental prototype to extract semantic models from them.en_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.relation.ispartofseriesLNCS 6089/2010;-
dc.subjectSocial Weben_US
dc.subjectSemantic Analysisen_US
dc.subjectKnowledge Acquisitionen_US
dc.titleExploring the Wisdom of the Tweets: Towards Knowledge Acquisition from Social Awareness Streamsen_US
dc.typeThesisen_US
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