Abstract: “In this work, we propose Semantic Tourist Data Innovation System (ViSIS) - a framework to generate linked dataset of tourism such as restaurants, hotels, attractions and hospitals. ViSIS extracts and integrates information about places from various relational datasets which contain the data from many different social media or location-based websites such as Foursquare, Agoda, Mytour, etc. These enormous and heterogeneous data are converted into a semantic knowledge base, which currently consists of more than 100,000 places in Vietnam and has started to expand with the information from other famous cities, i.e. London, Barcelona and Rome. This paper will describe the architecture of ViSIS, its processes and present an improved method for categorizing places.”

Keywords: rdf, ontology, semantic, web, converter, tourism, linked, data.