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- W1729834106 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." @default.
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- W1729834106 date "2009-01-01" @default.
- W1729834106 modified "2023-10-18" @default.
- W1729834106 title "SeMatching: Using Semantics to Perform Pair Matching in Mentoring Processes" @default.
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- W1729834106 doi "https://doi.org/10.1007/978-3-642-04754-1_15" @default.
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