Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 301-306 |
| Number of pages | 6 |
| ISBN (Print) | 9781467369701 |
| DOIs | |
| Publication status | Published - 2015 Sep 14 |
| Event | 12th IEEE International Conference on Autonomic Computing, ICAC 2015 - Grenoble, France Duration: 2015 Jul 7 → 2015 Jul 10 |
Other
| Other | 12th IEEE International Conference on Autonomic Computing, ICAC 2015 |
|---|---|
| Country | France |
| City | Grenoble |
| Period | 15/7/7 → 15/7/10 |
Fingerprint
Keywords
- City GML
- Community Service
- Context-Awareness
- Data Model
- Sensor Network
- Smart City
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Software
- Control and Systems Engineering
Cite this
IKaaS data modeling : A data model for community services and environment monitoring in smart city. / Hashimoto, Kazuo; Yamada, Keiji; Tabata, Kenichi; Oda, Michio; Suganuma, Takuo; Rahim, Abdur; Vlacheas, Panagiotis; Stavroulaki, Vera; Kelaidonis, Dimitrios; Georgakopoulos, Andreas.
Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 301-306 7266984.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - IKaaS data modeling
T2 - A data model for community services and environment monitoring in smart city
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
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
SN - 9781467369701
SP - 301
EP - 306
BT - Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -