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

页码：15 / 23

页数：9

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