Abstract
In this paper, we introduce our cross-lingual linked data lexica, called xLiD-Lexica, which are constructed by exploiting the multilingual Wikipedia and linked data resources from Linked Open Data (LOD). We provide the cross-lingual groundings of linked data resources from LOD as RDF data, which can be easily integrated into the LOD data sources. In addition, we build a SPARQL endpoint over our xLiD-Lexica to allow users to easily access them using SPARQL query language. Multilingual and cross-lingual information access can be facilitated by the availability of such lexica, e.g., allowing for an easy mapping of natural language expressions in different languages to linked data resources from LOD. Many tasks in natural language processing, such as natural language generation, cross-lingual entity linking, text annotation and question answering, can benefit from our xLiD-Lexica.- Anthology ID:
- L14-1232
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2101–2105
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/248_Paper.pdf
- DOI:
- Cite (ACL):
- Lei Zhang, Michael Färber, and Achim Rettinger. 2014. xLiD-Lexica: Cross-lingual Linked Data Lexica. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2101–2105, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- xLiD-Lexica: Cross-lingual Linked Data Lexica (Zhang et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/248_Paper.pdf