This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
Knowledge models are structured representations of knowledge using symbols to represent pieces of knowledge and relationships between them, while a knowledge building community inv...
In this paper, we describe an on-going project called Concept and Sensor Networks (CSN). The development of this project has been described in past PSMP workshops [1]. The purpose ...
Concept maps (CM) are informal, semantic, node-link conceptual graphs used to represent knowledge in a variety of applications. Algorithms that compare concept maps would be usefu...
Formal Concept Analysis (FCA) considers attributes as a non-ordered set. This is appropriate when the data set is not structured. When an attribute taxonomy exists, existing techni...