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Ontology-Based Open Tourism Data Integration Framework: Trip Planning Platform
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Author(s): Imadeddine Mountasser (Moulay Ismaïl University, Morocco), Brahim Ouhbi (Moulay Ismaïl University, Morocco), Ferdaous Hdioud (Sidi Mohamed Ben Abdellah University, Morocco)and Bouchra Frikh (Sidi Mohamed Ben Abdellah University, Morocco)
Copyright: 2020
Pages: 27
Source title:
AI and Big Data’s Potential for Disruptive Innovation
Source Author(s)/Editor(s): Moses Strydom (Emeritus, France)and Sheryl Buckley (University of South Africa, South Africa)
DOI: 10.4018/978-1-5225-9687-5.ch002
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Abstract
Tourism is an information-intensive industry that requires the interconnection of the stakeholders to make strategic decisions for both tourism organizations and tourists. For instance, trip planning as a high-engagement, time and effort-consuming decision-making process, allows choosing the most suitable travel destination, mode, and activities. Tourists often need a considerable amount of information to develop a travel plan and to build expectations for their trip. Therefore, they need a technological platform on which information relating to tourism activities could be interoperated to respond to the pre-trip tourists' information sourcing behavior. In contrast, given the substantial number of actors providing open data in the field of tourism, tourism service providers aim to explore its significant potentials for sustainable tourism development. Thus, this chapter investigates the capacity to build a centralized information platform using diverse open data sources to support travelers during their trip planning by providing more prominent and better-tailored information.
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