The paradigm shift from the current energy consumption model towards a sustainable model requires to develop new behaviors and strategies. This is particularly relevant in domains like the public transport. Many providers are currently offering services to assist passengers to plan their routes. However, these approaches are often restricted to some specific area or transport medium. We suggest using a Linked Data perspective, which makes simpler to combine data from different sources, as well as extending and managing them. Moreover, it makes possible to enrich the basic model to the extent of developing a knowledge model, able to use semantic techniques to unfold even better strategies. In this paper we present a proposal in the transport domain, which refines a basic model into a Transmodel specification and later adds more information according to the IFOPT model. This defines a knowledge model, which can be used to develop sustainable transport strategies. © 2014 Springer International Publishing.
CITATION STYLE
Cáceres, P., Cuesta, C. E., Cavero, J. M., Vela, B., & Sierra-Alonso, A. (2014). Towards knowledge modeling for sustainable transport. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8368 LNCS, pp. 271–287). Springer Verlag. https://doi.org/10.1007/978-3-319-05032-4_20
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