DAS Subhashis, Bagchi Mayukh
Department of Computer Science and Automation, Universidad de Salamanca, Salamanca, Castile and León, 37007, Spain.
Department of Information Engineering and Computer Science (DISI), Universita degli Studi di Trento, Trento, Trentino-Alto Adige/South Tyrol, 38123, Italy.
Open Res Eur. 2025 Jul 23;5:1. doi: 10.12688/openreseurope.17614.2. eCollection 2025.
, 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.
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.
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.
中国古代哲学家曾著名地说过……现代旅游生态系统是多方面的且依赖多种情境，以至于计划出游的游客有一系列从基础的……到复杂的……等各种问题。由于游客所处的不同观念、语言、文化和经济相互交织，这样的问题清单变得更加复杂。因此，游客问题日益增加的复杂性使得有必要提供超越当今旅游业流行的信息通信技术（ICT）基础设施的专业化和细粒度的数据与信息服务。
在本文中，我们提议并倡导通过一种在理论和实现上……的人工智能（AI）支持的……技术，为任何规模和任何复杂程度的游客提供细粒度信息服务。
通过开发一个完全填充的特定于旅游的本体驱动的知识图谱来验证该方法，该知识图谱有4264个RDF语句，并准备好作为旅游部门当前任何ICT基础设施的一部分用于……、……和……
