Open Mashup Enterprise service platform for LinkEd.. (OMELETTE)
Open Mashup Enterprise service platform for LinkEd data in The TElco domain
(OMELETTE)
Start date: Oct 1, 2010,
End date: Jun 30, 2013
PROJECT
FINISHED
The convergence of Telecom, IT and content services drives new emerging service markets based on an open Internet of Services. Mashups have gained big success in the so-called Web 2.0. The success of the Web 2.0 services has encouraged Telcos to expose their assets as Telco services in order to provide third parties with facilities to build their business. Moreover, the exposure of network infrastructure as services is facilitating the entry of new API-driven telco agents that bring traditional telco services (telephony, messaging, IP location, etc.) to the Web.Yet, the technologies underlying each of the different mashup types are heterogeneous, which makes integration challenging. Also, mashups do not offer a universal composition model either, since mashup development is not vendor independent.In this landscape, OMELETTE aims at researching on the development, management, governance, execution and conception of converged services with a specific focus on the telco domain. OMELETTE will create a sound model of mashups that follows the REST architectural style (also supported by standard widget technology), as well as a standard specification of a mashup-containing platform that may guarantee portability and interoperability among different vendors and versions. These concepts will be based on a solid theoretical model of mashup foundations and the specific requirements gained from the telco domain. OMELETTE will aim at breaking the barriers between the web, telecommunication and hybrid services, taking into account the convergence of IT/telecom/content systems. OMELETTE will foster as well the reuse of existing components and mashups, thanks to its automated service discovery functionalities. Project OMELETTE aims at developing an open platform for building convergent mashups for the telco domain to be used within several industry-driven use cases.
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