Pragmatic Querying in Heterogeneous Knowledge Graphs

THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp. 4317-4318, 2016.

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Abstract:

Knowledge Graphs with rich schemas can allow for complex querying. My thesis focuses on providing accessible Knowledge using Gricean notions of Cooperative Answering as a motivation. More specifically, using Query Reformulations, Data Awareness, and a Pragmatic Context, along with the results they can become more responsive to user requir...More

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