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Research Project
DISKOW: Discovering Job Knowledge from Web Data
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Discovering job Knowledge through Web Analytics towards facilitated mobility of European Professionals and Refugees Career Integration.
Where: international
Where: international
Challenge
The scope of DISKOW project is to create an open “job knowledge base” (JKB) prototype that can be used by employers, employees, job seekers, labor market experts and policy makers.
Approach
The Web is a gold mine for job knowledge discovery. Linked open data, social media sources, job search engines, data streams and interlinked info are few examples of such readily available job-related sources of knowledge. Improving job knowledge, competencies and skills of job seekers is essential to increase their employability. To gain insights into labour demand or supply, researchers and policymakers have traditionally relied on interviews, trade publications, surveys, and vacancies. Although such traditional data sources have some clear advantages, they are also characterized by limitations that can be addressed by using web-based data and Semantic Web technologies instead.
Digital Ecosystem
Solution
Digital Ecosystem
Such a knowledge base could contain different types of information such as responsibilities and roles, required competences (described using existing standards, such as European e-Competence Framework (eCF), European Qualifications Framework (EQF), etc.), that could be used to develop training and identify priorities, wage information, geographical and demographic trends, cultural issues, demands of the job markets in different domains, job announcement information and rates, job popularity and other useful statistics. The solution provides a new dimension in labour market analysis by employing job knowledge from the web data in contrast to the traditional approaches such as survey, questionnaires, interview and trade or business publications.
Financing Framework
Results
Contributes to skills development toward specific jobs
Increases mobility of workforce across Europe
Identifies most required skills and competences for different jobs / sectors
Impacts
To know more
Research Project
STARLIGHT: Artificial Intelligence to fight against high priority threats
Better data analysis and management: a project to equip law enforcement agencies with secure and resilient AI technologies and tools.
Research Project
TwinEU: Digital Twins for European Elecricity Systems
Artificial Intelligence and eXtended Reality for a cutting-edge European Digital Twin, focused on interoperability and data exchange through the integration of the Energy Data Space.
Research Project
LAGO: Lessen data Access and Governance Obstactles
Delivering the foundation for a trusted European Research Data Ecosystem (RDE) to address the ‘Data Issue’ in the research landscape for the fight against crime and terrorism.
-
Research Project
STARLIGHT: Artificial Intelligence to fight against high priority threats
Better data analysis and management: a project to equip law enforcement agencies with secure and resilient AI technologies and tools.
-
TwinEU: Digital Twins for European Elecricity Systems
Artificial Intelligence and eXtended Reality for a cutting-edge European Digital Twin, focused on interoperability and data exchange through the integration of the Energy Data Space.
-
Research Project
LAGO: Lessen data Access and Governance Obstactles
Delivering the foundation for a trusted European Research Data Ecosystem (RDE) to address the ‘Data Issue’ in the research landscape for the fight against crime and terrorism.
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