TY - GEN
T1 - IKaaS data modeling
T2 - 12th IEEE International Conference on Autonomic Computing, ICAC 2015
AU - Hashimoto, Kazuo
AU - Yamada, Keiji
AU - Tabata, Kenichi
AU - Oda, Michio
AU - Suganuma, Takuo
AU - Rahim, Abdur
AU - Vlacheas, Panagiotis
AU - Stavroulaki, Vera
AU - Kelaidonis, Dimitrios
AU - Georgakopoulos, Andreas
N1 - Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2015/9/14
Y1 - 2015/9/14
N2 - 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.
AB - 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.
KW - City GML
KW - Community Service
KW - Context-Awareness
KW - Data Model
KW - Sensor Network
KW - Smart City
UR - http://www.scopus.com/inward/record.url?scp=84961798402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961798402&partnerID=8YFLogxK
U2 - 10.1109/ICAC.2015.64
DO - 10.1109/ICAC.2015.64
M3 - Conference contribution
AN - SCOPUS:84961798402
T3 - Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
SP - 301
EP - 306
BT - Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
A2 - Lalanda, Philippe
A2 - Kounev, Samuel
A2 - Diaconescu, Ada
A2 - Cherkasova, Lucy
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 July 2015 through 10 July 2015
ER -