@inproceedings{kouylekov-oepen-2014-semantic,
title = "Semantic Technologies for Querying Linguistic Annotations: An Experiment Focusing on Graph-Structured Data",
author = "Kouylekov, Milen and
Oepen, Stephan",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1166_Paper.pdf",
pages = "4331--4336",
abstract = "With growing interest in the creation and search of linguistic annotations that form general graphs (in contrast to formally simpler, rooted trees), there also is an increased need for infrastructures that support the exploration of such representations, for example logical-form meaning representations or semantic dependency graphs. In this work, we heavily lean on semantic technologies and in particular the data model of the Resource Description Framework (RDF) to represent, store, and efficiently query very large collections of text annotated with graph-structured representations of sentence meaning.",
}
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%0 Conference Proceedings
%T Semantic Technologies for Querying Linguistic Annotations: An Experiment Focusing on Graph-Structured Data
%A Kouylekov, Milen
%A Oepen, Stephan
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F kouylekov-oepen-2014-semantic
%X With growing interest in the creation and search of linguistic annotations that form general graphs (in contrast to formally simpler, rooted trees), there also is an increased need for infrastructures that support the exploration of such representations, for example logical-form meaning representations or semantic dependency graphs. In this work, we heavily lean on semantic technologies and in particular the data model of the Resource Description Framework (RDF) to represent, store, and efficiently query very large collections of text annotated with graph-structured representations of sentence meaning.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1166_Paper.pdf
%P 4331-4336
Markdown (Informal)
[Semantic Technologies for Querying Linguistic Annotations: An Experiment Focusing on Graph-Structured Data](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1166_Paper.pdf) (Kouylekov & Oepen, LREC 2014)
ACL