Applying Semantic Web Technologies for Improving the Visibility of Tourism Data
Fayrouz Soualah-Alila (L3I), Cyril Faucher (L3I), Fr\'ed\'eric, Bertrand (L3I), Micka\"el Coustaty (L3I), Antoine Doucet (L3I)

TL;DR
This paper discusses how semantic Web technologies can enhance the visibility and management of diverse tourism data, aiding tourist actors in finding and publishing information more effectively.
Contribution
It introduces early results from the Tourinflux project, demonstrating the application of semantic Web technologies to improve tourism data accessibility.
Findings
Use of ontologies facilitates management of heterogeneous tourism data
Semantic Web technologies enable more intelligent data access
Initial implementation shows improved data visibility and retrieval
Abstract
Tourism industry is an extremely information-intensive, complex and dynamic activity. It can benefit from semantic Web technologies, due to the significant heterogeneity of information sources and the high volume of on-line data. The management of semantically diverse annotated tourism data is facilitated by ontologies that provide methods and standards, which allow flexibility and more intelligent access to on-line data. This paper provides a description of some of the early results of the Tourinflux project which aims to apply semantic Web technologies to support tourist actors in effectively finding and publishing information on the Web.
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