Multimedia Digital Ecosystem Architecture
Collaborators:

1. Richard Chbeir (Prof. ), LIUPPA, UPPA, France – Principal Advisor
2. Gilbert Tekli (Phd), Nobatek and LIUPPA, UPPA, France – Co-advisor
3. Yudith Cardinale (Prof.), GRyDs, Universidad Simon Bolivar, Venezuela – Collaborator

Nowadays, most of the information exchanged in Internet (particularly through social networks) is in the form of
multimedia data. Each actor in Internet (individuals, enterprises, territorial communities, etc.) becomes producer and consumer of contents. Development and increasing demand for multimedia data offer producers/consumers more choices and opportunities for sharing in collaborative environments. Nevertheless, social network platforms and other traditional collaborative environments present limitations regarding content selection and collection, categorization and classification, aggregation, linking and interoperability, usage control and privacy. In this context, the aim of this research project is to propose a MultiMedia-Oriented Digital EcoSystem (MMDES) as a new environment of collaboration, sharing, and computing of multimedia content and applications ensuring the benefits of all its participants. Digital Ecosystems aim at creating a digital environment for interested participants that supports in-between cooperation and promote collective knowledge sharing in order to provide mutual benefits, as a new way to handle collaboration in a distributed and heterogeneous environment. Thus, MMDES is a special type of digital ecosystems that focuses on sharing multimedia resources (data, methods, API/services, processing capacities, and cache and storage capacities) among interested participants. MMDES provides several features, from user and system perspectives. From user perspective, it allows users to define their profiles and preferences, to publish or keep locally their resources, to have the benefits from collective knowledge and to have control over their resources according to predefined usage rules with regards to user preferences and interests. From system perspective, MMDES allows to enrich, extract semantics and combine multimedia resources from different sources so to come up with a collective intelligence for effective and better recommendation, negotiation, notification, etc. It also allows to address the extremely increasing multimedia resources in the web by keeping mutual benefits in a win-win situation.

So as to realize this research project, we will contribute by providing:
• MMDES Architectural framework
• MAS-Onto – a generic ontology for the digital ecosystem