Domain and Competences Ontologies and Their Maintenance for an Intelligent Dissemination of Documents

Gargouri, Yassine; Lefebvre, Bernard; Meunier, Jean-Guy

doi:10.1007/11579427_10

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the first studies about an evaluation through competences to individuals and applying computing, there is a debate on how to generate the dissemination of relevant information to users according to knowledge generated within an institution or organization, an aspect highlighted in [17], where it explains that "one of the challenges of knowledge management is the active and smart dissemination of knowledge to users, without bothering them with information unrelated to their competencies or fields of interest" and suggests a first approximation of an ontology system based on competences that intend to provide assistance in order to increase productivity of users during their activities according to their profile. In [18], the objective is to design an ontological model, based on the competences of each enterprise, to support decisions at the time of creating collaborative networks within virtual environments called virtual breeding environment (VBE) whose aim is to enhance the competences of employees.…”

Section: Related Workmentioning

confidence: 99%

CREAMINKA: An Intelligent Ecosystem for Supporting Management and Information Discovery in Research and Innovation Fields in Universities

Guerreo¹,

Pulla-Sánchez²,

Galán-Mena³

et al. 2018

Management of Information Systems

View full text Add to dashboard Cite

This chapter presents a new proposal for supporting the management of research processes in universities and higher education centers. To this aim, the authors have developed a comprehensive ecosystem that implements a knowledge model that addresses three innovative aspects of research: (i) acceleration of knowledge production, (ii) research valorization and (iii) discovery of improbable peers. The ecosystem relies on ontologies and intelligent modules and is able to automatically retrieve information of major scientific databases such as SCOPUS and Science Direct to infer new information. Currently, the system is able to provide guidelines to create improbable research peers as well as automatically generate resilience graphics and reports from more than 17,000 tuples of the ontological database. In this work, the authors describe in detail an important aspect of support systems for research management in higher education: the development and valorization of competences of students collaborating in research process and startUPS of universities. Furthermore, a knowledge model of entrepreneurship (startUPS) as well as an analyzer of general and specific competences based on data mining processes is presented.

show abstract

Section: Related Workmentioning

confidence: 99%