L’impact de la prise en charge des couches sémantiques sur la recherche d'information touristique : Cas des établissements et services touristiques digitalisés au Maroc

Tourism is an economic and a wealth-creating pillar that involves several volatile actors are rich in dynamic, complex heterogeneous information (Benckendorff et al., 2019). Therein, the continuous increase volume of available on tourism offerings web has made user decision making crucial task. As result, use personalized intelligent recommendation systems essential for satisfaction consumers (Grün 2017). The objective this article to reveal impact deployment semantic techniques quality accuracy search results information, case Morocco. This will be done through ontologies, which key component (Buhalis, 2020). To end, we first presented implementation ontologies it. Then, described basic background ontologies. Finally, discussed existing domain findings show that, assumption ontological conceptualization during creation digital content by establishments, as context-aware knowledge base, ensures correspondence between users' preferences characteristics offers published, thus improving recommendations according user's context (Abbasi-Moud 2022). Nevertheless, evolution following changes sector major complexity. For reason, invention automatic approach, based artificial intelligence techniques, NLP, Machine Learning or Deep Learning, can contribute evolutionary, reliable easier maintenance Moroccan context.