Semantic support for model based big data analytics-as-a-service (MBDAaaS)

Domenico Redavid; Donato Malerba; Beniamino Di Martino; Antonio Esposito; Claudio Agostino Ardagna; Valerio Bellandi; Paolo Ceravolo; Ernesto Damiani

doi:10.1007/978-3-319-93659-8_94

Semantic support for model based big data analytics-as-a-service (MBDAaaS)

Domenico Redavid, Donato Malerba, Beniamino Di Martino, Antonio Esposito, Claudio Agostino Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

With the growing interest in Big Data technologies, companies and organizations are devoting much effort to designing Big Data Analytics (BDA) applications that may increase their competitiveness or foster innovation. However, BDA design requires expertise and economic resources that may not always available. To overcome this limit, the TOREADOR project has proposed a model-based BDAaaS (MBDAaaS) approach to guarantee the automation of BDA applications design, allowing users to focus on business cases without having to deal with technical aspects of data storage and management. Although many platforms providing BDA services are available, most of them exploit ontologies only for data representation and not for describing the BDA computation itself. This paper describes how the Semantic technologies meet MBDAaaS in the TOREADOR project.

Original language	British English
Title of host publication	Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2018
Editors	Leonard Barolli, Makoto Ikeda, Makoto Takizawa, Nadeem Javaid
Publisher	Springer Verlag
Pages	1012-1021
Number of pages	10
ISBN (Print)	9783319936581
DOIs	https://doi.org/10.1007/978-3-319-93659-8_94
State	Published - 2019
Event	12th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2018 - Matsue, Japan Duration: 4 Jul 2018 → 6 Jul 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	772
ISSN (Print)	2194-5357

Conference

Conference	12th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2018
Country/Territory	Japan
City	Matsue
Period	4/07/18 → 6/07/18

Keywords

Big Data as a service
Big Data ontology
Parallel Patterns
Semantic web services

Access to Document

10.1007/978-3-319-93659-8_94

Cite this

Redavid, D., Malerba, D., Di Martino, B., Esposito, A., Ardagna, C. A., Bellandi, V., Ceravolo, P., & Damiani, E. (2019). Semantic support for model based big data analytics-as-a-service (MBDAaaS). In L. Barolli, M. Ikeda, M. Takizawa, & N. Javaid (Eds.), Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2018 (pp. 1012-1021). (Advances in Intelligent Systems and Computing; Vol. 772). Springer Verlag. https://doi.org/10.1007/978-3-319-93659-8_94

Redavid, Domenico ; Malerba, Donato ; Di Martino, Beniamino et al. / Semantic support for model based big data analytics-as-a-service (MBDAaaS). Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2018. editor / Leonard Barolli ; Makoto Ikeda ; Makoto Takizawa ; Nadeem Javaid. Springer Verlag, 2019. pp. 1012-1021 (Advances in Intelligent Systems and Computing).

@inproceedings{548cc8576f104f2da4cfe0382ab34697,

title = "Semantic support for model based big data analytics-as-a-service (MBDAaaS)",

abstract = "With the growing interest in Big Data technologies, companies and organizations are devoting much effort to designing Big Data Analytics (BDA) applications that may increase their competitiveness or foster innovation. However, BDA design requires expertise and economic resources that may not always available. To overcome this limit, the TOREADOR project has proposed a model-based BDAaaS (MBDAaaS) approach to guarantee the automation of BDA applications design, allowing users to focus on business cases without having to deal with technical aspects of data storage and management. Although many platforms providing BDA services are available, most of them exploit ontologies only for data representation and not for describing the BDA computation itself. This paper describes how the Semantic technologies meet MBDAaaS in the TOREADOR project.",

keywords = "Big Data as a service, Big Data ontology, Parallel Patterns, Semantic web services",

author = "Domenico Redavid and Donato Malerba and {Di Martino}, Beniamino and Antonio Esposito and Ardagna, {Claudio Agostino} and Valerio Bellandi and Paolo Ceravolo and Ernesto Damiani",

note = "Publisher Copyright: {\textcopyright} 2019, Springer International Publishing AG, part of Springer Nature.; 12th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2018 ; Conference date: 04-07-2018 Through 06-07-2018",

year = "2019",

doi = "10.1007/978-3-319-93659-8_94",

language = "British English",

isbn = "9783319936581",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "1012--1021",

editor = "Leonard Barolli and Makoto Ikeda and Makoto Takizawa and Nadeem Javaid",

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Redavid, D, Malerba, D, Di Martino, B, Esposito, A, Ardagna, CA, Bellandi, V, Ceravolo, P & Damiani, E 2019, Semantic support for model based big data analytics-as-a-service (MBDAaaS). in L Barolli, M Ikeda, M Takizawa & N Javaid (eds), Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2018. Advances in Intelligent Systems and Computing, vol. 772, Springer Verlag, pp. 1012-1021, 12th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2018, Matsue, Japan, 4/07/18. https://doi.org/10.1007/978-3-319-93659-8_94

Semantic support for model based big data analytics-as-a-service (MBDAaaS). / Redavid, Domenico; Malerba, Donato; Di Martino, Beniamino et al.
Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2018. ed. / Leonard Barolli; Makoto Ikeda; Makoto Takizawa; Nadeem Javaid. Springer Verlag, 2019. p. 1012-1021 (Advances in Intelligent Systems and Computing; Vol. 772).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Semantic support for model based big data analytics-as-a-service (MBDAaaS)

AU - Redavid, Domenico

AU - Malerba, Donato

AU - Di Martino, Beniamino

AU - Esposito, Antonio

AU - Ardagna, Claudio Agostino

AU - Bellandi, Valerio

AU - Ceravolo, Paolo

AU - Damiani, Ernesto

PY - 2019

Y1 - 2019

N2 - With the growing interest in Big Data technologies, companies and organizations are devoting much effort to designing Big Data Analytics (BDA) applications that may increase their competitiveness or foster innovation. However, BDA design requires expertise and economic resources that may not always available. To overcome this limit, the TOREADOR project has proposed a model-based BDAaaS (MBDAaaS) approach to guarantee the automation of BDA applications design, allowing users to focus on business cases without having to deal with technical aspects of data storage and management. Although many platforms providing BDA services are available, most of them exploit ontologies only for data representation and not for describing the BDA computation itself. This paper describes how the Semantic technologies meet MBDAaaS in the TOREADOR project.

AB - With the growing interest in Big Data technologies, companies and organizations are devoting much effort to designing Big Data Analytics (BDA) applications that may increase their competitiveness or foster innovation. However, BDA design requires expertise and economic resources that may not always available. To overcome this limit, the TOREADOR project has proposed a model-based BDAaaS (MBDAaaS) approach to guarantee the automation of BDA applications design, allowing users to focus on business cases without having to deal with technical aspects of data storage and management. Although many platforms providing BDA services are available, most of them exploit ontologies only for data representation and not for describing the BDA computation itself. This paper describes how the Semantic technologies meet MBDAaaS in the TOREADOR project.

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KW - Big Data ontology

KW - Parallel Patterns

KW - Semantic web services

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T3 - Advances in Intelligent Systems and Computing

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BT - Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2018

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A2 - Takizawa, Makoto

A2 - Javaid, Nadeem

PB - Springer Verlag

T2 - 12th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2018

Y2 - 4 July 2018 through 6 July 2018

ER -

Redavid D, Malerba D, Di Martino B, Esposito A, Ardagna CA, Bellandi V et al. Semantic support for model based big data analytics-as-a-service (MBDAaaS). In Barolli L, Ikeda M, Takizawa M, Javaid N, editors, Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2018. Springer Verlag. 2019. p. 1012-1021. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-93659-8_94

Semantic support for model based big data analytics-as-a-service (MBDAaaS)

Abstract

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Keywords

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