地球信息科学学报 ›› 2014, Vol. 16 ›› Issue (2): 191-198.doi: 10.3724/SP.J.1047.2014.00191

• 地球信息科学理论与方法 • 上一篇    下一篇

位置服务的上下文信息模型

齐凌艳1,2, 陈荣国1   

  1. 1. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室, 北京 100101;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2013-04-18 修回日期:2013-07-20 出版日期:2014-03-10 发布日期:2014-03-10
  • 通讯作者: 陈荣国(1962- ),男,博士生导师,主要从事空间数据库与位置信息服务研究。E-mail:chenrongguo@beyondb.com.cn E-mail:chenrongguo@beyondb.com.cn
  • 作者简介:齐凌艳(1988- ),女,安徽芜湖人,硕士生,研究方向为位置信息服务。E-mail:qly1107@126.com
  • 基金资助:

    国家自然科学基金项目(41001313);国家“863”高技术发展研究计划项目(2013AA12A204)。

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

QI Lingyan1,2, CHEN Rongguo1   

  1. 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:2013-04-18 Revised:2013-07-20 Online:2014-03-10 Published:2014-03-10
  • Contact: 10.3724/SP.J.1047.2014.00191 E-mail:chenrongguo@beyondb.com.cn

摘要:

在位置服务领域,用户所处环境的上下文信息在分析、处理请求,以及推送相应的位置信息服务方面发挥着至关重要的作用。目前,如何存储和管理上下文位置信息缺乏统一的模型和标准,本文对此提出了一种全新的位置服务的上下文信息模型。利用User Context(< User >,< Time >,< Location >,< Surroundings >,< Demand >)5元素模型描述位置服务上下文信息中5个信息元素(用户信息、时间信息、位置信息、环境信息、用户需求信息),这5个信息元素均是直接因素,彼此独立且获取方便,人为干预少;同时,利用数据库技术可将5元素模型抽象成5元素表形式存储于数据表中,以便高效检索。最后,通过分析5元素模型中的不同信息元素,可推理出基于搜索关键词的用户需求偏好及基于时间和位置信息的用户轨迹(用户行为、热点区域、用户兴趣)。

关键词: 数据库, 位置服务, 需求偏好分析, 上下文信息模型, 用户轨迹分析

Abstract:

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.

Key words: analysis of demand inclination, context-aware information model, analysis of user route, database, LBS