Treo: Best-Effort Natural Language Queries over Linked Data (bibtex)
by André Freitas, João Oliveira, Seán O'Riain, Edward Curry, João Pereira da Silva
Abstract:
Linked Data promises an unprecedented availability of data on the Web. However, this vision comes together with the associated challenges of querying highly heterogeneous and distributed data. In order to query Linked Data on the Web today, end-users need to be aware of which datasets potentially contain the data and the data model behind these datasets. This query paradigm, deeply attached to the traditional perspective of structured queries over databases, does not suit the heterogeneity and scale of the Web, where it is impractical for data consumers to have an a priori understanding of the structure and location of available datasets. This work describes Treo, a best-effort natural language query mechanism for Linked Data, which focuses on the problem of bridging the semantic gap between end-user natural language queries and Linked Datasets.
Reference:
André Freitas, João Oliveira, Seán O'Riain, Edward Curry, João Pereira da Silva, "Treo: Best-Effort Natural Language Queries over Linked Data", In Proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, NLDB 2011 (poster), Springer Berlin Heidelberg, vol. 6716, Berlin, Heidelberg, pp. 286-289, 2011.
Bibtex Entry:
@inproceedings{Freitas2011a,
abstract = {Linked Data promises an unprecedented availability of data on the Web. However, this vision comes together with the associated challenges of querying highly heterogeneous and distributed data. In order to query Linked Data on the Web today, end-users need to be aware of which datasets potentially contain the data and the data model behind these datasets. This query paradigm, deeply attached to the traditional perspective of structured queries over databases, does not suit the heterogeneity and scale of the Web, where it is impractical for data consumers to have an a priori understanding of the structure and location of available datasets. This work describes Treo, a best-effort natural language query mechanism for Linked Data, which focuses on the problem of bridging the semantic gap between end-user natural language queries and Linked Datasets.},
address = {Berlin, Heidelberg},
author = {Freitas, Andr{\'{e}} and Oliveira, Jo{\~{a}}o and O'Riain, Se{\'{a}}n and Curry, Edward and {Pereira da Silva}, Jo{\~{a}}o},
booktitle = {Proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, NLDB 2011 (poster)},
doi = {10.1007/978-3-642-22327-3},
editor = {Mu{\~{n}}oz, Rafael and Montoyo, Andr{\'{e}}s and M{\'{e}}tais, Elisabeth},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Freitas et al. - 2011 - Treo Best-Effort Natural Language Queries over Linked Data.pdf:pdf},
isbn = {978-3-642-22326-6},
keywords = {LEIdataspace,Linked Data,Natural Language Queries,Treo},
mendeley-tags = {LEIdataspace,Linked Data,Natural Language Queries,Treo},
pages = {286--289},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
title = {{Treo: Best-Effort Natural Language Queries over Linked Data}},
url = {http://www.edwardcurry.org/publications/Freitas_Treo_NLDB_2011.pdf},
volume = {6716},
year = {2011}
}
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