RQUERY: Rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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External Research Organisations

  • Kno.e.sis Center
  • Leipzig University
  • University of Bonn
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Original languageEnglish
Title of host publicationProceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence
Subtitle of host publication4-9 February 2017, San Francisco, California, USA / AAAI-17 San Francisco ; sponsored by the Association for the Advancement of Artificial Intelligence
Place of PublicationPalo Alto
Pages3936-3943
Number of pages8
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event31st AAAI Conference on Artificial Intelligence, AAAI 2017 - San Francisco, United States
Duration: 4 Feb 201710 Feb 2017

ASJC Scopus subject areas

Cite this

RQUERY: Rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem. / Shekarpour, Saeedeh; Marx, Edgard; Auer, Sören et al.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence: 4-9 February 2017, San Francisco, California, USA / AAAI-17 San Francisco ; sponsored by the Association for the Advancement of Artificial Intelligence. Palo Alto, 2017. p. 3936-3943.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Shekarpour, S, Marx, E, Auer, S & Sheth, A 2017, RQUERY: Rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem. in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence: 4-9 February 2017, San Francisco, California, USA / AAAI-17 San Francisco ; sponsored by the Association for the Advancement of Artificial Intelligence. Palo Alto, pp. 3936-3943, 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, United States, 4 Feb 2017.
Shekarpour, S., Marx, E., Auer, S., & Sheth, A. (2017). RQUERY: Rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence: 4-9 February 2017, San Francisco, California, USA / AAAI-17 San Francisco ; sponsored by the Association for the Advancement of Artificial Intelligence (pp. 3936-3943).
Shekarpour S, Marx E, Auer S, Sheth A. RQUERY: Rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence: 4-9 February 2017, San Francisco, California, USA / AAAI-17 San Francisco ; sponsored by the Association for the Advancement of Artificial Intelligence. Palo Alto. 2017. p. 3936-3943
Shekarpour, Saeedeh ; Marx, Edgard ; Auer, Sören et al. / RQUERY : Rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence: 4-9 February 2017, San Francisco, California, USA / AAAI-17 San Francisco ; sponsored by the Association for the Advancement of Artificial Intelligence. Palo Alto, 2017. pp. 3936-3943
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title = "RQUERY: Rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem",
author = "Saeedeh Shekarpour and Edgard Marx and S{\"o}ren Auer and Amit Sheth",
note = "Funding information: Acknowledgments. We acknowledge partial support from the National Science Foundation (NSF) awards: (1) EAR 1520870: Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response. (2) CNS 1513721: Context-Aware Harassment Detection on Social Media. Any opinions, findings, and conclusions/recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.; 31st AAAI Conference on Artificial Intelligence, AAAI 2017 ; Conference date: 04-02-2017 Through 10-02-2017",
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AU - Auer, Sören

AU - Sheth, Amit

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