Semantic Integration of Heterogeneous Recognition Systems
Semantic Integration of Heterogeneous Recognition Systems
复制标题
异构识别系统的语义集成
DOI：
10.1007/978-3-642-25085-9_34
复制
发表时间：
2011
期刊：
影响因子：
1.1
通讯作者：
Piotr Raszkowski
中科院分区：
文献类型：
--
作者：
Pawel Kaczmarek;Piotr Raszkowski
计算机对现实生活情况的感知是使用各种识别技术来执行的，包括基于视频的计算机视觉、生物识别系统、RFID设备等。识别模块的激增使得通过集成现有组件来开发复杂系统成为可能，类似于面向服务的体系结构技术。在本文中，我们提出了一种方法，可以集成现有模块的信息，以计算出更准确和完整的结果。该方法使用概念的语义描述和推理来管理模块返回的信息之间的句法差异。语义描述基于视频识别和泛在系统中现有的真实世界概念。我们提出了Helper功能，如：模块可信度评级、可信度声明和通信协议选择。定义了两种集成模式：匹配概念的投票和互补概念的聚合。
Computer perception of real-life situations is performed using a variety of recognition techniques, including video-based computer vision, biometric systems, RFID devices and others. The proliferation of recognition modules enables development of complex systems by integration of existing components, analogously to the Service Oriented Architecture technology. In the paper, we propose a method that enables integration of information from existing modules to calculate results that are more accurate and complete. The method uses semantic description of concepts and reasoning to manage syntactic differences between information returned by modules. The semantic description is based on existing real-world concepts in video recognition and ubiquitous systems. We propose helper functionalities such as: module credibility rating, confidence level declaration and selection of communication protocol. Two integration modes are defined: voting of matching concepts and aggregation of complementing concepts.