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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...
The popularity of the social web introduces opportunities for the recommender systems, whilst new challenges arise when semantic knowledge is integrated in the landscape. The large amount of opinions available from Web 2.0 are exploited here to improve recommendation techniques in a semantic context. The developed recommendation system matches the crawled opinions against tourist objectives within...
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