CRUZAR: An Application of Semantic Matchmaking to e-Tourism

Iván Mínguez (Fundación CTIC, Spain), Diego Berrueta (Fundación CTIC, Spain) and Luis Polo (Fundación CTIC, Spain)
Copyright: © 2010 |Pages: 271
EISBN13: 9781616921903|DOI: 10.4018/978-1-60566-894-9.ch012
OnDemand PDF Download:
$37.50
OnDemand PDF Download
Download link provided immediately after order completion
$37.50

Abstract

This chapter describes CRUZAR, a Web application that builds custom tourism routes for each visitor to the city of Zaragoza. This application exploits expert knowledge of the tourism domain (captured in rules and ontologies) and consumes a consolidated repository of relevant tourism resources (RDF instances extracted from different legacy databases: historical buildings, museums, public parks, restaurants, cultural events…). User profiles and interests, as well as user-defined constraints, are modeled with an ontology. A semantic matchmaking algorithm is applied to find the most interesting resources for each profile, and a planner organizes the selections into an optimal route. The authors discuss the main challenges and design choices.
InfoSci-OnDemand Powered Search