Enhancing Large-Scale RDF Web Knowledge-bases for Query Answering
by Aidan Hogan on Feb 15, 2010
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Given at DERI Galway on 2010/02/12....
Given at DERI Galway on 2010/02/12.
More and more data is being published on the Web through RDF; in particular – and largely under the auspices of the pragmatic Linked Data community – more and more structured data is being published within a plethora of different domains: e.g., information is being published from Wikipedia, BBC, LastFM, the UK government, etc., describing people, organisations, online communities, movies, proteins, and so forth. In this talk, I will present research I have carried out during my PhD which aims at enhancing large-scale RDF web datasets for query-answering: I will show some simple examples of problems with query-answering over the “native” RDF data, and discuss pragmatic solutions – in light of these examples – which involve using a scalable and best-effort reasoning approach. I will also discuss open questions and future directions along the lines of the above topic.
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