Answering natural language queries over linked data graphs: A distributional semantics approach

André Freitas, Fabrício F. De Faria, Seán O'Riain, Edward Curry

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

5 Citations (Scopus)

Abstract

This paper demonstrates Treo, a natural language query mechanism for Linked Data graphs. The approach uses a distributional semantic vector space model to semantically match user query terms with data, supporting vocabulary-independent (or schema-agnostic) queries over structured data.

Original languageEnglish
Title of host publicationSIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages1107-1108
Number of pages2
DOIs
Publication statusPublished - 2013
Event36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013 - Dublin, Ireland
Duration: 28 Jul 20131 Aug 2013

Publication series

NameSIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013
Country/TerritoryIreland
CityDublin
Period28/07/131/08/13

Keywords

  • Distributional-Compositional Semantics
  • Knowledge Graphs
  • Natural Language Queries
  • Schema-Agnostic Queries
  • Semantic Search

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