– This paper analyzes the suitability of fuzzy clustering methods for the discovery of relevant document relationships, motivated by the need for enhanced
In this paper, a framework for organizing and navigating online learning material with respect to the semantic context of documents is described. We propose the use of a fuzzy clustering algorithm and TopicMaps to discover and represent knowledge, respectively. We present a prototype implementation of the framework for semantic browsing of a test collection… (More)
In this paper, we describe the flexible searching and browsing tool for the telecoms learning material: the " Knowledge Navigator ". This tool was developed in the context of the European Commission sponsored project CANDLE (Collaborative and Network-based Distributed Learning Environment).
Thispaperdiscusseshowavariablepedagogicalmodel can be supported in a network based teaching and learningenvironment.Thisworkisbeingdevelopedas part of the EU/IST project, CANDLE (Collaborative andNetwork-basedDistributedLearningEnvironment), developing re-usable network based learning material. Onlinematerialforlearningtakesseveralformssuchas notes pages,… (More)
In this paper we present an approach to organize Web-accessible courseware according to knowledge domains, by means of fuzzy clustering. A new modified version of the Fuzzy C-Means clustering algorithm that employs a non-Euclidean metric is proposed and some preliminary trials with the new metric are presented. The experimental results show that the… (More)
This paper describes the use of fuzzy cluster analysis in the process of finding knowledge from meta-data. A collection of RFC documents has been used to analyse the behaviour of such technique on finding similarities and establishing groups among these documents. The fuzzy clustering resulted in a 85% match to our prior expectations.