Semantic Traffic-Aware Routing Using the LarKC Platform

Semantic Traffic-Aware Routing Using the LarKC Platform

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 plu...

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Veröffentlicht in:IEEE internet computing 2011-11, Vol.15 (6), p.15-23
Hauptverfasser: Della Valle, Emanuele, Celino, I., Dell'Aglio, D., Grothmann, R., Steinke, F., Tresp, V.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Automotive components
Forecasting
Information retrieval
Internet
Learning
location-based services
Ontologies
Operations research
Platforms
Query processing
Recurrent neural networks
semantic retrieval
Semantics
Telecommunication traffic
traffic forecasting
Urban areas
urban computing
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Beschreibung
Zusammenfassung: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.
ISSN:1089-7801
1941-0131
DOI:10.1109/MIC.2011.107