Pragmatic Querying In Heterogeneous Knowledge Graphs
AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence(2016)
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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