An ontology-driven knowledge graph for tourism information management.

BACKGROUND

, the ancient Chinese philosopher, had famously said, . The modern ecosystem of tourism is multi-faceted and multi-context dependent, so much so that tourists, planning on an excursion, have an entire range of queries from as basic as to as complex as . Such a list becomes even more complicated due to the intermixing of different perceptions, languages, cultures and economies in which tourists are enmeshed in. Accordingly, such increasing complexity in questions from tourists necessitate the need to provide specialized and fine-grained data and information services which are beyond the Information and communications technology (ICT) infrastructures in vogue in tourism today.

METHODS

In this paper, we propose and advocate the use of, via a theoretically and implementationally , the Artificial Intelligence (AI) backed technology of , to provide fine-grained information services to tourists at any scale and at any level of complexity.

RESULTS AND CONCLUSIONS

The methodology is validated by developing a fully populated tourism-specific ontology-driven knowledge graph having 4264 RDF statements and ready for , and as a part of any of the current ICT infrastructure in tourism sector.