European Commission logo
polski polski
CORDIS - Wyniki badań wspieranych przez UE
CORDIS
Zawartość zarchiwizowana w dniu 2024-05-29

Knowledge base for RTD competencies

Cel

The objective of the project is to set up and populate an information portal with innovative functionalities that helps to promote RTD competencies in IST in the NMS and ACC and facilitate and foster the involvement of different research entities in joint RTD activities.

The portal will contain information about RTD actors on the local, national and European level, such as persons, research groups, organisations and projects, and their experience and expertise. The portal will improve upon existing on-line services by offering the following functionalities:
- Partner Finding Tool
- Social Network Identification
- Forecasting/Prediction
- Expertise Identification

The target user group are organisations from all countries looking for specific RTD competencies, organisations from NMS/ACC wishing to promote their own competencies, and other support actions requiring a knowledge base for their work. The information structure of the portal will be suitable for representing personal and organisational competencies, expertise and social networks. Web forms will be provided for easy self-registration of RTD actors and we will employ web mining techniques for automated updates.

The portal is based on techniques and tools developed in previous and current research projects. Advanced techniques for automatic data acquisition, classification, knowledge extraction, trend detection and prediction will be implemented as services to support partner search for IST proposals and commercial projects. Techniques from social network analysis will be used for trust net monitoring, authority identification, community identification and monitoring, and prediction of community evolution. Moreover, it will offer a service for community building and maintenance.

Extensive promotion activities will be carried out, and a suitable business model will be proposed to ensure the sustainability of the portal services.

Zaproszenie do składania wniosków

Data not available

Koordynator

DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH
Wkład UE
Brak danych
Adres
Trippstadter Strasse 122
67663 KAISERSLAUTERN
Niemcy

Zobacz na mapie

Koszt całkowity
Brak danych

Uczestnicy (14)