Design and Implementation of the Context-aware Location Based Service Model

  • 1. State Key Laboratory of Resources and environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2013-04-18

  Revised date: 2013-07-20

  Online published: 2014-03-10


In the area of location service, the location information of user based on context-aware play an important role in analyzing, processing and sending location information service. That is, if using the context about the environment around the user well, we could analyze the request of the user better and provide the most appreciate service to the users in time which could indeed meet the users' request. However, how to store and manage context information, we have not a uniform model and standard yet. Moreover, there is no specific model designed for the location context information of user. This paper applies the 5-ary model which is designed to express context information to propose a new method specifically for the location information based on context-aware of the user. The model is: User Context (< User >,< Time >,< Location >, < Surroundings >,< Demand >). This model could state the five key information elements, that is user information, location information, time, surroundings information and user demand information. These five elements are direct and independent. Moreover, they could be acquired easily. The user information may include name, sex, job, major of the user and so on. The location is made up with two parts: textual address and coordinate. The coordinate information is usually gathered by GPS. The surrounding information is about weather and temperature which could be received from the relevant website. And the demand information is text which is used to describe the user's demand or request, mostly about restaurant, shopping, entertainment and so on. Then, store the users' location context information into a database in the way of the 5-ary to improve the query speed of data. In the end, through extracting the keywords in the demand information with TF-IDF method, we can conclude the inclination of users. Based on time and location information, we could also acquire some initial conclusions including the trend of demand information from users, the analysis of user behavior, hotspot analysis and the analysis of users' interest.

Cite this article

QI Lingyan, CHEN Rongguo . Design and Implementation of the Context-aware Location Based Service Model[J]. Journal of Geo-information Science, 2014 , 16(2) : 191 -198 . DOI: 10.3724/SP.J.1047.2014.00191


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