Answering Natural Language Queries over Linked Data Graphs: A Distributional Semantics Approach (bibtex)
by André Freitas, Fabricio de Faria, Sean O'Riain, Edward Curry
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 vocabularyindependent (or schema-agnostic) queries over structured data.
Reference:
André Freitas, Fabricio de Faria, Sean O'Riain, Edward Curry, "Answering Natural Language Queries over Linked Data Graphs: A Distributional Semantics Approach", In 36th Annual ACM SIGIR Conference, Dublin, Ireland, 2013.
Bibtex Entry:
@inproceedings{Freitas2013b,
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 vocabularyindependent (or schema-agnostic) queries over structured data.},
address = {Dublin, Ireland},
author = {Freitas, Andr{\'{e}} and de Faria, Fabricio and O'Riain, Sean and Curry, Edward},
booktitle = {36th Annual ACM SIGIR Conference},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Freitas et al. - 2013 - Answering Natural Language Queries over Linked Data Graphs A Distributional Semantics Approach.pdf:pdf},
keywords = {Distributional-Compositional Semantics,Knowledge Graphs,Natural Language Queries,Schema-Agnostic Queries,Semantic Search},
title = {{Answering Natural Language Queries over Linked Data Graphs: A Distributional Semantics Approach}},
url = {http://www.edwardcurry.org/publications/SIGIR13_Demo_freitasPS.pdf},
year = {2013}
}
Powered by bibtexbrowser