Collaborative semantic editing of linked data lexica

John McCrae, Elena Montiel-Ponsoda, Philipp Cimiano


Abstract
The creation of language resources is a time-consuming process requiring the efforts of many people. The use of resources collaboratively created by non-linguistists can potentially ameliorate this situation. However, such resources often contain more errors compared to resources created by experts. For the particular case of lexica, we analyse the case of Wiktionary, a resource created along wiki principles and argue that through the use of a principled lexicon model, namely Lemon, the resulting data could be better understandable to machines. We then present a platform called Lemon Source that supports the creation of linked lexical data along the Lemon model. This tool builds on the concept of a semantic wiki to enable collaborative editing of the resources by many users concurrently. In this paper, we describe the model, the tool and present an evaluation of its usability based on a small group of users.
Anthology ID:
L12-1306
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2619–2625
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/544_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
John McCrae, Elena Montiel-Ponsoda, and Philipp Cimiano. 2012. Collaborative semantic editing of linked data lexica. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 2619–2625, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Collaborative semantic editing of linked data lexica (McCrae et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/544_Paper.pdf