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The Semantic Web in Tourism

The Semantic Web in Tourism

Salvador Miranda Lima, José Moreira
Copyright: © 2009 |Pages: 29
ISBN13: 9781605666501|ISBN10: 1605666505|EISBN13: 9781605666518
DOI: 10.4018/978-1-60566-650-1.ch033
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MLA

Miranda Lima, Salvador, and José Moreira. "The Semantic Web in Tourism." Handbook of Research on Social Dimensions of Semantic Technologies and Web Services, edited by Maria Manuela Cruz-Cunha, et al., IGI Global, 2009, pp. 675-703. https://doi.org/10.4018/978-1-60566-650-1.ch033

APA

Miranda Lima, S. & Moreira, J. (2009). The Semantic Web in Tourism. In M. Cruz-Cunha, E. Oliveira, A. Tavares, & L. Ferreira (Eds.), Handbook of Research on Social Dimensions of Semantic Technologies and Web Services (pp. 675-703). IGI Global. https://doi.org/10.4018/978-1-60566-650-1.ch033

Chicago

Miranda Lima, Salvador, and José Moreira. "The Semantic Web in Tourism." In Handbook of Research on Social Dimensions of Semantic Technologies and Web Services, edited by Maria Manuela Cruz-Cunha, et al., 675-703. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-650-1.ch033

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Abstract

The emergence of the World Wide Web made available massive amounts of data. This data, created and disseminated from many different sources, is prepared and linked in a way that is well-suited for display purposes, but automation, integration, interoperability or context-oriented search can hardly be implemented. Hence, the Semantic Web aims at promoting global information integration and semantic interoperability, through the use of metadata, ontologies and inference mechanisms. This chapter presents a Semantic Model for Tourism (SeMoT), designed for building Semantic Web enabled applications for the planning and management of touristic itineraries, taking into account the new requirements of more demanding and culturally evolved tourists. It includes an introduction to relevant tourism concepts, an overview of current trends in Web Semantics research and a presentation of the architecture, main features and a selection of representative ontologies that compose the SeMoT.

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