Pragmatic Querying In Heterogeneous Knowledge Graphs

AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence(2016)

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摘要
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 requirements and user context.
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