Semantic Traffic-Aware Routing Using the LarKC Platform

被引：12
|
作者：
Della Valle, Emanuele [1 ]
Celino, Irene [2 ]
Dell'Aglio, Daniele [2 ]
Grothmann, Ralph
Steinke, Florian
Tresp, Volker
机构：
[1] Politecn Milan, Dept Elect & Informat, Milan, Italy
[2] Politecn Milan, Cefriel, Milan, Italy
来源：
IEEE INTERNET COMPUTING | 2011年 / 15卷 / 06期
关键词：
location-based services; semantic retrieval; traffic forecasting; urban computing;
D O I：
10.1109/MIC.2011.107
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：15 / 23
页数：9
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