Pragmatic Querying in Heterogeneous Knowledge Graphs

Authors

  • Amar Viswanathan Rensselaer Polytechnic Institute

DOI:

https://doi.org/10.1609/aaai.v30i1.9819

Keywords:

Query Reformulation, RDF Reformulation

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 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