Objective
Given the huge amount of static and dynamic content created for eLearning tasks, the major challenge for extending their use is to improve the effectiveness of retrieval and accessibility by making use of Learning Management Systems (LMS).
The LT4eL project will tackle this problem by providing Language Technology based functionalities to support semi-automatic metadata generation, for the description of the learning objects, on the basis of a linguistic analysis of the content. Semantic knowledge will be integrated to enhance the management, distribution and retrieval of the learning material. Ontologies, key elements in the architecture of the Semantic Web initiative, will be used to structure the learning material within LMSs, by means of the descriptive metadata.
These functionalities will be integrated in an open source LMS and will be extended to cover the nine languages represented by our consortium. Special attention will be given to support the languages of the New Member States and Associated Candidate Countries. The approach will thus support the linguistic diversity of the enlarged Europe, contributing to the dissemination of eLearning content for these languages by creating opportunities for multilingual virtual learning communities and by providing technologies for their support. The validation methodology suitable for investigating the impact of these new functionalities on the learning experience in a multilingual context will be provided.
The integration of these functionalities will facilitate the construction of user specific courses, will allow direct access of knowledge, will improve the creation of personalized content and will support decentralization and co-operation of content management.
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
- natural sciences computer and information sciences internet semantic web
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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
3584 CS UTRECHT
Netherlands
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.