TheLiLa: Linking Latin project was recently awarded funding from the European Research Council to build a Knowledge Base of linguistic resources for Latin. LiLa responds to the growing need in the fields of Computational Linguistics, Humanities Computing and Classics to create an interoperable ecosystem of resources and Natural Language Processing tools for Latin. To this end, LiLa makes use of Linked Open Data practices and standards to connect words to distributed textual and lexical resources via unique identifiers. In so doing, it builds rich knowledge graphs, which can be used for research and teaching purposes alike. This paper details the architecture of the LiLa Knowledge Base and presents the solutions found to address the challenges raised by populating it with a first set of linguistic resources.
Passarotti, M. C., Cecchini, F. M., Franzini, G., Litta Modignani Picozzi, E. M. G., Mambrini, F., Ruffolo, P., The LiLa Knowledge Base of Linguistic Resources and NLP Tools for Latin, in Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK 2019), Leipzig, Germany, May 21, 2019, (Leipzig, 21-21 May 2019), CEUR-WS.org, Leipzig 2019:<<CEUR WORKSHOP PROCEEDINGS>>, 6-11 [http://hdl.handle.net/10807/140578]
The LiLa Knowledge Base of Linguistic Resources and NLP Tools for Latin
Passarotti, Marco Carlo;Cecchini, Flavio Massimiliano;Franzini, Greta;Litta Modignani Picozzi, Eleonora Maria Gabriella;Mambrini, Francesco;
2019
Abstract
TheLiLa: Linking Latin project was recently awarded funding from the European Research Council to build a Knowledge Base of linguistic resources for Latin. LiLa responds to the growing need in the fields of Computational Linguistics, Humanities Computing and Classics to create an interoperable ecosystem of resources and Natural Language Processing tools for Latin. To this end, LiLa makes use of Linked Open Data practices and standards to connect words to distributed textual and lexical resources via unique identifiers. In so doing, it builds rich knowledge graphs, which can be used for research and teaching purposes alike. This paper details the architecture of the LiLa Knowledge Base and presents the solutions found to address the challenges raised by populating it with a first set of linguistic resources.
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