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Semantic Traffic-Aware Routing Using the LarKC Platform
Nov.-Dec. 2011 (vol. 15 no. 6)
pp. 15-23
Emanuele Della Valle, Politecnico di Milano
Irene Celino, Cefriel, Politecnico di Milano
Daniele Dell'Aglio, Cefriel, Politecnico di Milano
Ralph Grothmann, Siemens Corporate Research and Technologies
Florian Steinke, Siemens Corporate Research and Technologies
Volker Tresp, Siemens Corporate Research and Technologies

The popularity of location-based services and automotive navigation systems calls for a new generation of intelligent solutions to support users in mobility. This article presents a traffic-aware semantic routing service for mobile users based on the Large Knowledge Collider (LarKC) Semantic Web pluggable platform. It proposes a technique for integrating conceptual query answering with statistical learning and operations research algorithms. The presented prototype of a traffic-aware semantic routing service works efficiently with large, heterogeneous information sources and delivers value-added services to mobile users.

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Index Terms:
semantic retrieval, location-based services, traffic forecasting, urban computing
Citation:
Emanuele Della Valle, Irene Celino, Daniele Dell'Aglio, Ralph Grothmann, Florian Steinke, Volker Tresp, "Semantic Traffic-Aware Routing Using the LarKC Platform," IEEE Internet Computing, vol. 15, no. 6, pp. 15-23, Nov.-Dec. 2011, doi:10.1109/MIC.2011.107
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