LELA - A natural language processing system for Romanian tourism
Abstract
This paper presents a commercial semantic-based system for the Romanian tourism. The Lela system exploits both open linked data from Romanian and international sources, and also proprietary databases in the tourism domain. We present the process of creating the linked data set, based on: i) engineering the LELA Romanian tourism ontology, and ii) populating the ontology by linking open data. The system also provides a natural language interface for the Romanian language. The queries are automatically translated into SPARQL based on a controlled vocabulary derived from the Lela ontology.
Full citation
"LELA - A natural language processing system for Romanian tourism", Bernadette Varga and Alina Dia Trambitas-Miron and Andrei Roth and Anca Marginean and Radu Razvan Slavescu and Adrian Groza, Proceedings of the 2014 Federated Conference on Computer Science and Information Systems (Annals of Computer Science and Information Systems), IEEE, Vol. 2, pp. 281--288, DOI: 10.15439/2014F323, 2014.