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Knowledge organizer is a medium to organize the objects of knowledge. The organizer that use semantic representations provide an advantage, because it can be understood by the computing machinery. The organized objects as resources to increase knowledge should be able shared through such as Learning Management System (LMS) which generally use a SCORM (Shareable Content Object Reference Model) as standard...
The purpose of this paper is to define architecture for organizational memory systems in institutions of higher education. The aim arose from the identified problem, where the constructions of knowledge management systems are being handled in a rapid prototyping approach. In the rapid prototyping approach the acquired knowledge was encoded directly into an iteratively developed computer system and...
Our research revolves around collaborative platforms entirely dedicated to research activities for several scientific organizations. Here, researchers from different domains interact and exchange information using our platforms as the common ground involving new concepts, methods and services to encourage collaborative work for their research activities. The work is based on the co-operation and collaboration...
In folksonomy, different users perform diverse tagging behaviors. Although many works have been reported on folksonomy based taxonomy construction, few attentions have been paid to the data preparation for the construction from the behavior perspective. To ensure constructing taxonomy with qualified folksonomy, a method is proposed in the paper to find representative tagging users, so called folksonomy...
Modern product development needs a large number of knowledge contained at all stages of product life cycle. In order to deal with the discrete, heterogeneous expression, scenario dependence of various types of product knowledge, a context-driven knowledge-sharing approach is presented, covering product knowledge modeling, describing and organizing. Through building product knowledge context model,...
Intelligent Topic Map we proposed extends the conventional topic map in structure and enhances the reasoning functions. It embodies the multi-level, multi-granularity and inherent relevant characteristics of knowledge, and establishes corresponding logical reasoning rules and grammar, then realizes knowledge representation and knowledge reasoning. With the Intelligent Topic Map as infrastructure,...
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