An AI Application to Integrated Tourism Planning
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 pap...
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Published in | AIIA 2015 Advances in Artificial Intelligence pp. 246 - 259 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
2015
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 331924308X 9783319243085 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-319-24309-2_19 |
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Summary: | 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. |
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ISBN: | 331924308X 9783319243085 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-24309-2_19 |