摘要
随着LBS(基于位置服务)的应用逐渐大众化,从现有LBS系统中提取更多、更准确的语义信息显得尤为重要。对LBS数据进行分析和研究,根据数据语义和用途将LBS数据分成三类:①领域数据;包括空间维和时间维等概念,即位置、定位、移动及时间等概念;②内容数据:描述LBS的特征内容;③应用数据:由LBS用户配置文件和相关服务描述组成。此分类法为构建LBS数据语义模型奠定基础,为LBS的数据表达、共享和交互提供可能。
As LBS （location-based services） applications become more and more common, searching from existing LBS systems to providing us with more semantics and accurate information services is emerging. Analyze and register the data semantics of Location-based Services （LBS）. Then, categorize LBS data according to the date semantics and use. We distinguish the （a） Domain Data, including spatial and temporal concepts （namely, position, location, movement and time）; （b） Content Data, describing the LBS specific content; and （c） Application Data, consisting of the user profile and the services provided by LBS. The category is based for the LBS data semantics modeling in future, and possible for the represent, share and exchange of LBS date.
出处
《地理空间信息》
2009年第2期36-38,共3页
Geospatial Information
基金
广西自然科学基金资助项目(0448076)
