Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS)

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

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

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