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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages301-306
Number of pages6
ISBN (Print)9781467369701
DOIs
Publication statusPublished - 2015 Sep 14
Event12th IEEE International Conference on Autonomic Computing, ICAC 2015 - Grenoble, France
Duration: 2015 Jul 72015 Jul 10

Other

Other12th IEEE International Conference on Autonomic Computing, ICAC 2015
CountryFrance
CityGrenoble
Period15/7/715/7/10

Fingerprint

Data structures
Monitoring
Ontology
Sensors
Semantic Web
Information management
Semantics
Smart city

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

Hashimoto, K., Yamada, K., Tabata, K., Oda, M., Suganuma, T., Rahim, A., ... Georgakopoulos, A. (2015). IKaaS data modeling: A data model for community services and environment monitoring in smart city. In Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015 (pp. 301-306). [7266984] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAC.2015.64

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 proceedingConference contribution

Hashimoto, K, Yamada, K, Tabata, K, Oda, M, Suganuma, T, Rahim, A, Vlacheas, P, Stavroulaki, V, Kelaidonis, D & Georgakopoulos, A 2015, IKaaS data modeling: A data model for community services and environment monitoring in smart city. in Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015., 7266984, Institute of Electrical and Electronics Engineers Inc., pp. 301-306, 12th IEEE International Conference on Autonomic Computing, ICAC 2015, Grenoble, France, 15/7/7. https://doi.org/10.1109/ICAC.2015.64
Hashimoto K, Yamada K, Tabata K, Oda M, Suganuma T, Rahim A et al. IKaaS data modeling: A data model for community services and environment monitoring in smart city. In Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 301-306. 7266984 https://doi.org/10.1109/ICAC.2015.64
Hashimoto, Kazuo ; Yamada, Keiji ; Tabata, Kenichi ; Oda, Michio ; Suganuma, Takuo ; Rahim, Abdur ; Vlacheas, Panagiotis ; Stavroulaki, Vera ; Kelaidonis, Dimitrios ; Georgakopoulos, Andreas. / IKaaS data modeling : A data model for community services and environment monitoring in smart city. Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 301-306
@inproceedings{7d29244400a84da6b2e2c39171c7c471,
title = "IKaaS data modeling: A data model for community services and environment monitoring in smart city",
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.",
keywords = "City GML, Community Service, Context-Awareness, Data Model, Sensor Network, Smart City",
author = "Kazuo Hashimoto and Keiji Yamada and Kenichi Tabata and Michio Oda and Takuo Suganuma and Abdur Rahim and Panagiotis Vlacheas and Vera Stavroulaki and Dimitrios Kelaidonis and Andreas Georgakopoulos",
year = "2015",
month = "9",
day = "14",
doi = "10.1109/ICAC.2015.64",
language = "English",
isbn = "9781467369701",
pages = "301--306",
booktitle = "Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

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 -