A wiki system is a typical Web 2.0 application that provides a bi-directional platform for users to collaborate and share much useful information online.Unfortunately,computers cannot well understand the wiki pages in...A wiki system is a typical Web 2.0 application that provides a bi-directional platform for users to collaborate and share much useful information online.Unfortunately,computers cannot well understand the wiki pages in plain text.The user-generated geographical content via wiki systems cannot be manipulated properly and efficiently unless the geographical semantics is explicitly represented.In this paper,a geographical semantic wiki system,Geo-Wiki,is introduced to solve this problem.Geo-Wiki is a semantic geographical knowledge-sharing web system based on geographical ontologies so that computers can parse and storage the multi-source geographical knowledge.Moreover,Geo-Wiki mashed up with map services enriches the representation and helps users to find spatial distribution patterns,and thus can serve geospatial decision-making by customizing the Google Maps APIs.展开更多
The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical rel...The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.展开更多
随着实际应用需求的不断提高,传统视觉同步定位与地图构建(visual simultaneous localization and mapping,VSLAM)难以建立符合要求的环境地图。语义VSLAM在传统VSLAM基础框架上引入深度学习获取环境图像的语义信息,并且构建环境的3D点...随着实际应用需求的不断提高,传统视觉同步定位与地图构建(visual simultaneous localization and mapping,VSLAM)难以建立符合要求的环境地图。语义VSLAM在传统VSLAM基础框架上引入深度学习获取环境图像的语义信息,并且构建环境的3D点云语义地图,能为更高层次的交互任务提供有效支持。通过分析传统的VSLAM框架中视觉里程计、回环与优化以及建图上的不足,阐述了近年来使用语义信息改善VSLAM系统性能及为环境交互任务提供助力的方法。最后,结合研究现状结论及课题组正在开展的工作对语义VSLAM未来研究方向及应用进行展望。展开更多
基金supported by the National Hi-Tech Research and Develop-ment Program of China ("863" Project) (Grant No.2007AA120502)the National Key Technologies Research and Development Program of China (Grant Nos.2008BAJ11B04,2006BAJ14B04)the National Natural Science Foundation of China (Grant Nos.40701134,40771171,40928001)
文摘A wiki system is a typical Web 2.0 application that provides a bi-directional platform for users to collaborate and share much useful information online.Unfortunately,computers cannot well understand the wiki pages in plain text.The user-generated geographical content via wiki systems cannot be manipulated properly and efficiently unless the geographical semantics is explicitly represented.In this paper,a geographical semantic wiki system,Geo-Wiki,is introduced to solve this problem.Geo-Wiki is a semantic geographical knowledge-sharing web system based on geographical ontologies so that computers can parse and storage the multi-source geographical knowledge.Moreover,Geo-Wiki mashed up with map services enriches the representation and helps users to find spatial distribution patterns,and thus can serve geospatial decision-making by customizing the Google Maps APIs.
文摘The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.
文摘随着实际应用需求的不断提高,传统视觉同步定位与地图构建(visual simultaneous localization and mapping,VSLAM)难以建立符合要求的环境地图。语义VSLAM在传统VSLAM基础框架上引入深度学习获取环境图像的语义信息,并且构建环境的3D点云语义地图,能为更高层次的交互任务提供有效支持。通过分析传统的VSLAM框架中视觉里程计、回环与优化以及建图上的不足,阐述了近年来使用语义信息改善VSLAM系统性能及为环境交互任务提供助力的方法。最后,结合研究现状结论及课题组正在开展的工作对语义VSLAM未来研究方向及应用进行展望。
