DMCA
Using Recommendation Systems for Explicit Knowledge Dissemination and Profiling Identification for Scientific and Engineering Contexts
BibTeX
@MISC{Barbosa_usingrecommendation,
author = {Carlos Eduardo Barbosa and Jonice Oliveira and Luciano Maia and Jano M. De Souza},
title = {Using Recommendation Systems for Explicit Knowledge Dissemination and Profiling Identification for Scientific and Engineering Contexts},
year = {}
}
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Abstract
In scientific and engineering scenarios we can notice the predominance of explicit knowledge being manipulated and distributed, which makes recommender systems very useful in this environment. But along with a knowledge management approach this kind of system can support the organization in better identifying competences, help engage users in a continuous and dynamic knowledge exchange, and customize knowledge dissemination as much as possible. In this work we detail a collaborative recommender system which is used in a Knowledge Management Environment for Scientific and Engineering contexts; we show how this approach can be aimed at a KM process and how this approach can deal with other kinds of knowledge used in research centers and universities.
Keyphrases
engineering context profiling identification explicit knowledge dissemination recommendation system knowledge dissemination explicit knowledge identifying competence collaborative recommender system dynamic knowledge exchange knowledge management environment recommender system km process research center knowledge management approach engineering scenario
