Abstract
Ontology-based model in context-aware systems offers more expressiveness, semantically sharing and interoperability. It supports reasoning tasks in a better way than other approaches. However, the main concern with ontology implementation is the expensive computational request for the reasoning process which makes this model unsuitable for critical time applications. This applies to tourism recommender systems when user is moving. Late response based on current tourist location might recommend him points of his interest that are already behind him. In this paper, we propose an ontology-based tourism mobile system that uses current user location and his speed to provide him with a recommendation about points of his interest before reaching them.
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Alhazbi, S., Lotfi, L., Ali, R., Suwailih, R. (2013). An Ontology-Based Context-Aware Mobile System for On-the-Move Tourists. In: O’Grady, M.J., et al. Evolving Ambient Intelligence. AmI 2013. Communications in Computer and Information Science, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-319-04406-4_25
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DOI: https://doi.org/10.1007/978-3-319-04406-4_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04405-7
Online ISBN: 978-3-319-04406-4
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