Abstract
The institutional website for La Rioja tourism (https://lariojaturismo.com) is a working example of the construction and exploitation of a tourism Knowledge Graph where all digital contents referring to attractions, accommodation, tourism routes, activities, events, restaurants, wineries, etc., are semantically represented in RDF/OWL. The construction of the Knowledge Graph was carried out through the conceptualization of a Digital Semantic Model that hybridized and extended several existing ontologies and vocabularies (mainly Harmonise, OnTour, Geonames, Rout, FRBR and rNews). The overarching objective was to generate a digital space where information retrieval was simpler, more useful and more practical, offering a much more friendly and satisfactory website experience. At present, the Knowledge Graph is made up of more than 7,000 digital contents; 67,284 entities; 472,361 relations; and 675,368 triples. The digital space receives more than 40.000 visits per month. The most important Knowledge Graph exploitations are associated with the existence of a metasearch engine, faceted search engines for each knowledge object, contextual information systems, and Graph visualization systems through combination of map and semantic geo-positioning.
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Notes
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“Web Semántica y Turismo” (2014), https://es.slideshare.net/gnoss/web-semntica-y-turismo-caso-la-rioja-turismo-gnoss-2014. Accessed 2018/04/03.
- 2.
Museo del Prado. Digital Semantic Model https://www.museodelprado.es/en/modelo-semantico-digital/el-prado-en-la-web.
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The Museo del Prado’s Knowledge Graph. https://www.museodelprado.es/en/modelo-semantico-digital/el-grafo-de-conocimiento-del-museo-del-prado.
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Geonames: http://www.geonames.org/.
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Alonso-Maturana, R., Alvarado-Cortes, E., López-Sola, S., Martínez-Losa, M.O., Hermoso-González, P. (2018). La Rioja Turismo: The Construction and Exploitation of a Queryable Tourism Knowledge Graph. In: Pautasso, C., Sánchez-Figueroa, F., Systä, K., Murillo Rodríguez, J. (eds) Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science(), vol 11153. Springer, Cham. https://doi.org/10.1007/978-3-030-03056-8_20
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