iKaaS Data Modeling: A Data Model for Community Services and Environment Monitoring in Smart City

Kazuo Hashimoto
Keiji Yamada
Kenichi Tabata
Michio Oda
Takuo Suganuma
Abdur Rahim
Panagiotis Vlacheas
Vera Stavroulaki
Dimitrios Kelaidonis
Andreas Georgakopoulos
Center for Research Strategy, Waseda University, Kokusai Kogyo, Co., Ltd, Cyber Science Center Tohoku University; Create-Net; WINGS ICT Solutions
Published in: 
In Autonomic Computing (ICAC), 2015 IEEE International Conference on, pp. 301-306. IEEE, 2015

Intelligent Knowledge as a Service (iKaaS) is an ambitious project aiming at integrating sensor management using Internet of Things (IoT) and cloud services by employing sensor data. The platform design covers self-healing functions based on self-awareness as well as basic functions such as inter-cloud, security/privacy management, and devices and data management. From the viewpoint of application development, ontology sharing is the most important to integrate services. This paper, the first step towards ontology sharing, defines the iKaaS data model as one that integrates data models used in all applications in the project. The data defined in the iKaaS data model is converted into RDF format and stored in the RDF database. The reasoning mechanism in semantic web allows the semantic integration of data and applications. The iKaaS project is developing a prototype community service, town management and healthcare, in Tagonishi’s Smart City. Presenting the iKaaS data model for these said services, this paper emphasizes the necessity of higher contextual awareness to achieve the goal of a better-fitted personalization for the individual.