作者: Amelie Gyrard , Soumya Kanti Datta , Christian Bonnet , Karima Boudaoud
DOI: 10.1109/GLOCOMW.2014.7063496
关键词: Data Web 、 Semantic Web Stack 、 Semantic Web 、 Wireless sensor network 、 Sensor web 、 World Wide Web 、 Semantic analytics 、 Ontology 、 Computer science 、 Web of Things 、 Linked data 、 Domain knowledge 、 Social Semantic Web
摘要: Domain-specific Internet of Things (IoT) applications are becoming more and popular. Each these uses their own technologies terms to describe sensors measurements. This is a difficult task help users build generic IoT combine several domains. To explicitly sensor measurements in uniform way, we propose enrich them with semantic web technologies. Domain knowledge already defined than 200 ontology sensor-based projects that could reuse cross-domain applications. There huge gap reason on without common nomenclature best practices ease the automation We present our Machine-to-Machine Measurement (M3) framework share lessons learned improve existing standards such as oneM2M, ETSI M2M, W3C Web Semantic Sensor Network.