Abstract / Description of output
In this paper we present an approach towards creating and enriching an event ontology from social media data gathered from Twitter.
Such an ontology is useful in providing accurate, up-to-date information in response to user queries from around the globe. The
dynamic nature of Twitter and the broad coverage of user tweets allow us to consolidate information about a wide range of events from
conferences to concerts, festivals, and so on. To enrich the ontology we have established a methodology for learning new type s of
events, so that, in parallel with population of the ontology, completely automatic enrichment is performed as well, fully.
Such an ontology is useful in providing accurate, up-to-date information in response to user queries from around the globe. The
dynamic nature of Twitter and the broad coverage of user tweets allow us to consolidate information about a wide range of events from
conferences to concerts, festivals, and so on. To enrich the ontology we have established a methodology for learning new type s of
events, so that, in parallel with population of the ontology, completely automatic enrichment is performed as well, fully.
Original language | English |
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Title of host publication | Proceedings of the 1st Workshop on Semantic Personalized Information Management |
Subtitle of host publication | SPIM 2010 |
Pages | 31-33 |
Number of pages | 3 |
Publication status | Published - May 2010 |
Event | Semantic Personalized Information Management - , Malta Duration: 10 May 2010 → … |
Workshop
Workshop | Semantic Personalized Information Management |
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Country/Territory | Malta |
Period | 10/05/10 → … |