Pragmatic Querying in Heterogeneous Knowledge Graphs
DOI:
https://doi.org/10.1609/aaai.v30i1.9819Keywords:
Query Reformulation, RDF ReformulationAbstract
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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Published
2016-03-05
How to Cite
Viswanathan, A. (2016). Pragmatic Querying in Heterogeneous Knowledge Graphs. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9819
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Section
Doctoral Consortium