The Internet of Things (IoT) has recently received considerable attention from academia, industry and government laboratories for developing the future Internet. IoT connects intelligent data-enabled devices to the pervasive internet infrastructure – closer to reality. IoT requires synergetic efforts from multiple disciplinal communities such as the telecommunication industry, device manufacturers and those involved in the semantic web, informatics and engineering, among many others.
The volume, velocity and volatility of IoT data impose significant challenges to existing information systems. Intelligent applications need to combine knowledge engineering and AI techniques to represent, integrate and reason upon data and knowledge. Semantic technologies have shown promise for describing objects, sharing and integrating information, and inferring new knowledge together with other intelligent processing techniques.
The addition of semantics also facilitates creating intelligent IoT applications, where data is machine-interpretable and self-descriptive. The dynamic and resource-constrained nature of the IoT requires putting special design considerations of semantic technologies into real world data and applications.
The issue will carry revised and substantially extended versions of selected papers presented at the International Conference on Identification, Information and Knowledge in the Internet of Things 2014 (IIKI2014), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
The volume, velocity and volatility of IoT data impose significant challenges to existing information systems. Intelligent applications need to combine knowledge engineering and AI techniques to represent, integrate and reason upon data and knowledge. Semantic technologies have shown promise for describing objects, sharing and integrating information, and inferring new knowledge together with other intelligent processing techniques.
The addition of semantics also facilitates creating intelligent IoT applications, where data is machine-interpretable and self-descriptive. The dynamic and resource-constrained nature of the IoT requires putting special design considerations of semantic technologies into real world data and applications.
The issue will carry revised and substantially extended versions of selected papers presented at the International Conference on Identification, Information and Knowledge in the Internet of Things 2014 (IIKI2014), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Knowledge engineering: knowledge retrieval and sharing; integration of heterogeneous information; reasoning algorithms for knowledge systems; data management and integration; data mining; context awareness; semantic interoperability; intelligent applications
- Mobile computing: mobile health and e-health applications; mobile education and mobile learning; mobile tracking services; modeling, emulation and measurement of mobile systems
- Software engineering: software engineering approaches; service-oriented computing; development methodologies; testing, debugging, validation and QoS modeling; formal verification; middleware systems for the Internet of Things
- Security and Privacy: identification technologies, privacy management, security in the Internet of Things; digital publishing; social influence
- Business Models: business models for the Internet of Things; business information processing; management information systems; enterprise knowledge management; applications, services, and things in the IoT enterprise
Important Dates
Full paper due: 15 January, 2015
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