Conference paper Open Access
Pavlidis, George; Markantonatou, Stella; Toraki, Katerina; Vacalopoulou, Anna; Strouthopoulos, Charalampos; Varsamis, Dimitrios; Tsimpiris, Alkiviadis; Mouroutsos, Spyridon; Kiourt, Chairi; Sevetlidis, Vasileios; Minos, Panagiotis
Gastronomy is increasingly becoming a decisive flavour of tourists’ experience. Tourists’ gastronomic experience could be significantly enhanced by AI tools that provide image-based dish recognition and menu translation, thus covering the basic needs of tourists during a visit that involves culinary experiences. This paper presents and discusses solutions explored with the project GRE-Taste that deals with the enhancement of culinary tourism experience in northern Greece, for which no linguistic resources exist and where general-purpose tools fail.