SeMatching: Using Semantics to Perform Pair Matching in Mentoring Processes

  • Authors:
  • Ricardo Colomo-Palacios;Juan Miguel Gómez-Berbís;Ángel García-Crespo;Myriam Mencke

  • Affiliations:
  • Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain 28911;Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain 28911;Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain 28911;Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain 28911

  • Venue:
  • WSKS '09 Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society. A Web Science Perspective
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The importance of the human factor in 21st century organizations means that the competent development of professionals has become a key aspect. In this environment, mentoring has emerged as a common and efficient practice for the development of knowledge workers. Following the surge of concepts such as eMentoring, advancements of the Internet and its evolution towards a Semantic Web, such developments present novel opportunities for the improvement of the different characteristics of mentoring. Basing itself on such advancements, this paper presents SeMatching, a semantics-based platform which utilizes different personal and professional information to carry out pair matching of mentors and mentees.