An AI Application to Integrated Tourism Planning

  • Francesca Alessandra Lisi
  • Floriana Esposito
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9336)


Integrated Tourism can be defined as the kind of tourism which is explicitly linked to the localities in which it takes place and, in practical terms, has clear connections with local resources, activities, products, production and service industries, and a participatory local community. In this paper we report our experience in applying Artificial Intelligence techniques to Integrated Tourism planning in urban areas. In particular, we have modeled a domain ontology for Integrated Tourism and developed an Information Extraction tool for populating the ontology with data automatically retrieved from the Web. Also, we have defined several Semantic Web Services on top of the ontology and applied a Machine Learning tool to better adapt the automated composition of these services to user demands. Use cases of the resulting service infrastructure are illustrated for the Apulia Region, Italy.


Service Composition Domain Ontology Composite Service Integrate Tourism Urban Tourism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Dipartimento di InformaticaUniversità degli Studi di Bari “Aldo Moro”BariItaly

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