This document discusses knowledge management and ontologies. It summarizes Corvinno Research's agenda, which includes developing ontologies to support knowledge discovery, extraction, and acquisition. Their expected results include adaptive testing, online self-paced learning, and tools to support recruitment, selection, and career development. Two of their projects are described - one involves developing an ontology-based content management system to provide personalized learning materials, and another involves matching job roles to educational competencies using occupational and educational data.

2. Knowledge Management
Knowlege
Discovery
Knowledge
Representation
• Knowledge mapping
• Knowledge acquisition
• Knowledge
development
•…
• Formalization of
knowledge
• Ontologies
• Use of knowledge
•…

3. Labor Market
Education
Individuals
Ontologies
Occupational data
Educational data
Personalized
Leraning Material

4. What is an Ontology?
An ontology is an explicit specification of a conceptualization.
Gruber, 1993
http://marksprague.wordpress.com/enterprise-seo-2/what-is-an-ontology-101/

5. Why Ontologies?
Ontologies Provide Greater Connectedness
http://www.mkbergman.com/900/an-executive-intro-to-ontologies/

6. Corvinno Research Agenda

7. Research Challenges
Semantic
Business Process
Modelling
Knowledge
Extraction &
Ontology
Learning
Ontology-based
Adaptive Testing
Knowledge
Discovery
and
Acquistion

8. Expected Results
On-line,
self-paced
learning
Recruitment &
selection
Organisational
learning
Career
development
Team & job
selection

9. Project Overview
IPR
Projects
OntoHR
STUDIO software
(background)
eGreenJobs
OntoTECH
A
Ontology
Testbank
Content
SMART
MedAssess
Enterprise4All
9

10. Future Internet – Responsive E-health

11. Architecture (mapped on the FIWARE)

12. Project: Ontology based context
aware content management (ESR12)
• The aim of the research is to develop content management solutions that
make use of semantic technologies to provide online content
recommendation services for individual learning and/or personalized
learning material acquisition.
• This project wants to facilitate the acquisition and use of knowledge, by
providing an ontology supported content management system that can
identify and address users’ (learners’) needs.
• Methodology
– ontology development
– creation of an ontology-based interface for information retrieval that
automatically and periodically retrieves learning materials from several open
educational content repositories
– development of advanced search modalities, taking into account the user
profile and learning content granularity.
– development of a web interface that allows for the automatic storage of all
users’ inputs

13. Project: Employment Data Management by
Matching Job roles to Educational
Competencies (ESR 13)
• Multidimensional analysis of the labour markets’
demand compared to the supply provided by the
formal, informal and non-formal education/training
services.
• Automated tool for finding, screening and pooling
occupational data, outputs of different types of
educational data, and lists of matching and/or
mismatching of educational categories and job roles,
including occupations, competencies and work tasks.
• Methodology
– Information retreival solutions
– Cloud computing (Use of Public Cloud, Hybrid Cloud)

14. Thank you!