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Mathematical Problems in Engineering
Volume 2014, Article ID 585634, 6 pages
Research Article

Chinese Location Word Recognition Using Service Context Information for Location-Based Service

1Department of Computer Science and Technology, Tongji University, Shanghai 201804, China
2Key Laboratory of Embedded System and Service Computing of Ministry of Education, Tongji University, Shanghai 201804, China

Received 18 December 2013; Accepted 8 January 2014; Published 13 March 2014

Academic Editor: Weichao Sun

Copyright © 2014 Jiujun Cheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With the development of mobile networks and positioning technology, extensive attention focuses on the location-based service (LBS) which processes the application data including user queries, information searches, and user comments by the location information. In LBS, the recognition of the location word in user messages is meaningful and important. The location word recognition in LBS is different from the traditional named entity recognition, owing to the additional information such as user location coordinates in LBS. This paper proposes a method that adds the service context information including user location coordinates and message timestamps into the machine learning to improve the accuracy of the Chinese location word recognition. The experiment based on microblog datasets in mobile environment proves the viability and effectiveness of this method.