地球信息科学学报
地毬信息科學學報
지구신식과학학보
GEO-INFORMATION SCIENCE
2014年
2期
191-198
,共8页
位置服务%上下文信息模型%数据库%需求偏好分析%用户轨迹分析
位置服務%上下文信息模型%數據庫%需求偏好分析%用戶軌跡分析
위치복무%상하문신식모형%수거고%수구편호분석%용호궤적분석
LBS%context-aware information model%database%analysis of demand inclination%analysis of user route
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）。
在位置服務領域，用戶所處環境的上下文信息在分析、處理請求，以及推送相應的位置信息服務方麵髮揮著至關重要的作用。目前，如何存儲和管理上下文位置信息缺乏統一的模型和標準，本文對此提齣瞭一種全新的位置服務的上下文信息模型。利用User Context（<User>，<Time>，<Location>，<Surroundings>，<Demand>）5元素模型描述位置服務上下文信息中5箇信息元素（用戶信息、時間信息、位置信息、環境信息、用戶需求信息），這5箇信息元素均是直接因素，彼此獨立且穫取方便，人為榦預少；同時，利用數據庫技術可將5元素模型抽象成5元素錶形式存儲于數據錶中，以便高效檢索。最後，通過分析5元素模型中的不同信息元素，可推理齣基于搜索關鍵詞的用戶需求偏好及基于時間和位置信息的用戶軌跡（用戶行為、熱點區域、用戶興趣）。
재위치복무영역，용호소처배경적상하문신식재분석、처리청구，이급추송상응적위치신식복무방면발휘착지관중요적작용。목전，여하존저화관리상하문위치신식결핍통일적모형화표준，본문대차제출료일충전신적위치복무적상하문신식모형。이용User Context（<User>，<Time>，<Location>，<Surroundings>，<Demand>）5원소모형묘술위치복무상하문신식중5개신식원소（용호신식、시간신식、위치신식、배경신식、용호수구신식），저5개신식원소균시직접인소，피차독립차획취방편，인위간예소；동시，이용수거고기술가장5원소모형추상성5원소표형식존저우수거표중，이편고효검색。최후，통과분석5원소모형중적불동신식원소，가추리출기우수색관건사적용호수구편호급기우시간화위치신식적용호궤적（용호행위、열점구역、용호흥취）。
In the area of location service, the location information of user based on context-aware play an impor-tant 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 appreci-ate 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 de-signed for the location context information of user. This paper applies the 5-ary model which is designed to ex-press context information to propose a new method specifically for the location information based on con-text-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. More-over, 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 key-words 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 informa-tion from users, the analysis of user behavior, hotspot analysis and the analysis of users’interest.
