MCASM: A Framework Cloud_Mashup Based on the Concept of Assisted Search Model for Managing Data as a Service (DaaS)

New web technologies have made it easier to create, use, share and recycle online resources over time. Cloud computing provides the ability to create multiple applications and software systems to satisfy complex user needs while improving the utilization of shared resources and information. The concept of “mashups” was created through this technological advancement, which combines datasets and services from different sources into a single website. This makes cooperation between websites and web services easier. However, the abundance of data available poses challenges, including sifting through irrelevant information due to the vast volume of online data and the criteria used for searching Thus, the organization and management of results data are not taken into consideration. To tackle these issues, this article proposes the use of cloud Mashup applications employing an Assisted Search Model (ASM)[1]. By querying DaaS-Cloud (Data as a Service-Cloud) services, with the possibility of integrating other Clouds by applying the notion of InterCloud, this approach termed MCASM, enables the creation of cloud mashups that utilize ASM concepts. This service provides users with access to a broad spectrum of data sources and enhances the relevance of data selection based on specified parameters.