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ANSWERING STRUCTURED QUERIES AND NATURAL LANGUAGE QUESTIONS ON RDF KNOWLEDGE BASES AND THEIR HISTORY.

There is now a cornucopia of rich knowledge bases including those of encyclopedic scope, such as DBpedia harvested from Wikipedia, and those focusing on specialized knowledge domains, such as the medical information domain. However, novel user-friendly systems and interfaces that can answer NL questions and complex structured queries on KBs and their histories are now needed to realize the full potential of this cornucopia. In this presentation, I'll first describe in some depth the design of our Canali and SWiPE systems developed to answer these needs. Then, I will turn to the difficult problem of managing KB histories that document both changes in the external world they describe, and changes caused by internal KB revisions and corrections. In order to address this problem successfully, semantic web applications will require a much more flexible framework for temporal-reasoning than those of temporal SQL standards.

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