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.- Anthology ID:
- L14-1117
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 4331–4336
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/1166_Paper.pdf
- DOI:
- Cite (ACL):
- Milen Kouylekov and Stephan Oepen. 2014. Semantic Technologies for Querying Linguistic Annotations: An Experiment Focusing on Graph-Structured Data. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4331–4336, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Semantic Technologies for Querying Linguistic Annotations: An Experiment Focusing on Graph-Structured Data (Kouylekov & Oepen, LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/1166_Paper.pdf