IoTCrawler

Information overload and integration of heterogeneous resources in large-scale dynamic and distributed Internet of Things frameworks are some of the challenges addressed by the IoTCrawler project. It proposes efficient scalable methods for crawling, discovery, indexing and ranking of IoT resources in large-scale cross-platform and cross-disciplinary systems and scenarios. It will develop enablers for secure and privacy-aware discovery and access to the resources. It will provide efficient and scalable methods to integrate and  process various numerical, textual and syntactic data for future applications. It will monitor and analyse the Quality of Service and Quality of Information to rank suitable resources and to support fault recovery and service continuity. The proposal will evaluate the developed methods and tools in various use-cases, such as Smart City, social IoT, smart energy, Industry 4.0 and further to be defined use-cases.

Consortium

• University of Murcia
• University of Surrey
• Aarhus University
  
• Siemens AG Österreich
• NEC Corporation
• AGT Group (R&D) GmbH
  
• digital worx
• Odin Solutions S.L.
• City of Aarhus