Objective
The future business scenario will be global, open and collaborative, dynamic and adaptive, frictionless and consistent. The main barrier SMEs have to face in order to exploit, adapt and migrate to this e-Business scenario is the lack of SME-oriented methodologies or tailored solutions.
The main objective of e-NVISION is the development and validation of an innovative e-business platform enabling SMEs to model and adapt particular business scenarios; to integrate all their enterprise applications and to incorporate legal, economical, social and cultural services, with the final goal of facilitating their participation in the Future European e-Business Scenario.
The main outcomes of the project are:
1. A specific SME-oriented e-Business Model formally described by a set ontologies.
2. A semantically enriched web service-oriented e-Business architecture providing modularity and integrability.
3. A set of business contextual services enabling SMEs to incorporate legal, social, economic, and trust aspects in their business model.
4. A number of semantic integration components facilitating the integration of the most common enterprise applications: ERP, CRM, logistics, etc.
5. A range of Semantic Tools providing the necessary decision support for governing the behaviour and progress of e-Business, through inference processes.
6. An Open Source e-Business Platform integrating the previous elements in an efficient SME-scale Information System, open and configurable enough to be adopted by SMEs.
This Semantic e-Business Platform will be validated in the framework of four different Construction SMEs scenarios.
The consortium is composed of 3 RTD, 1 University, 4 ICT & consultancy companies, 4 SME and 3 Clusters from 5 European Countries (Spain, France, Lithuania, Slovenia, and Poland) with the clear aim of incorporating and validating as many experiences as possible.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences knowledge engineering ontology
- social sciences economics and business business and management business models
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
48160 DERIO
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.