Project description
Semantic-based knowledge systems
X-Media addresses the issue of knowledge management in complex distributed environments. It will study, develop and implement large scale methodologies and techniques for knowledge management able to support sharing and reuse of knowledge that is distributed in different media (images, documents and data) and repositories (data bases, knowledge bases, document repositories, etc.) or that is inaccessible for current systems, which cannot capture the knowledge implicit across media. X-Media will study, design and develop:
1) Effective and efficient new paradigms for knowledge retrieval, sharing and reuse which enable users to define and parameterize views on the available knowledge according to their needs. Users will be supported by an anticipatory system able to trace automatically the user profile and help focusing in the large search space.
2) Novel and cutting-edge knowledge fusion methods to support knowledge workers in making decisions when confronted with - possibly contradicting - knowledge derived from different resources.
3) Techniques able to represent and manage (i) uncertainty, (ii) trust and provenance as well as (iii) dynamic aspects of knowledge, in order to help users balancing their judgment;
4)Robust and scalable knowledge acquisition and data analysis tools operating across media boundaries (text, images and data) to automatically cross-relate and annotate text and images with metadata for easier sharing and retrieval as well as fostering integration with other resources.
5) A methodology and a technical infrastructure able to deliver knowledge from across media to the knowledge workers, taking into account the complexity of managing different media with different size of data.
6) A generic and flexible architecture allowing end users to easily customize it and integrate it with their KM practices or needs as well as a mainly open source reference implementation and libraries which technology providing companies can reuse.
X-Media addresses the issue of knowledge management in complex distributed environments. It will study, develop and implement large scale methodologies and techniques for knowledge management able to support sharing and reuse of knowledge that is distributed in different media (images, documents and data) and repositories (data bases, knowledge bases, document repositories, etc.) or that is inaccessible for current systems, which cannot capture the knowledge implicit across media. X-Media will study, design and develop: 1) Effective and efficient new paradigms for knowledge retrieval, sharing and reuse which enable users to define and parameterize views on the available knowledge according to their needs. Users will be supported by an anticipatory system able to trace automatically the user profile and help focusing in the large search space. 2) Novel and cutting-edge knowledge fusion methods to support knowledge workers in making decisions when confronted with - possibly contradicting - knowledge derived from different resources. 3) Techniques able to represent and manage (i) uncertainty, (ii) trust and provenance as well as (iii) dynamic aspects of knowledge, in order to help users balancing their judgment; 4)\tRobust and scalable knowledge acquisition and data analysis tools operating across media boundaries (text, images and data) to automatically cross-relate and annotate text and images with metadata for easier sharing and retrieval as well as fostering integration with other resources. 5) A methodology and a technical infrastructure able to deliver knowledge from across media to the knowledge workers, taking into account the complexity of managing different media with different size of data. 6) A generic and flexible architecture allowing end users to easily customize it and integrate it with their KM practices or needs as well as a mainly open source reference implementation and libraries which technology providing companies can reuse.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2004-IST-4
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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
S1 4DP Sheffield
United Kingdom
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.