Towards building active knowledge systems with conceptual graphs

Abstract. This paper outlines a vision for using conceptual graphs to build active knowledge systems that have the capability to solve practical and complex problems. A key ingredient in an active knowledge system is its ability to interact (not just interface) with the real world. Basic features of such systems go beyond logic to include support for data mining, intelligent agents, temporal actors, active sensors, a system for knowledge interchange and finally, support for knowledge-in-the-large.

Conceptual graphs for Semantic Web applications

In this paper, we aim at showing the advantages of Conceptual Graph formalism for the Semantic Web through several real-world applications in the framework of Corporate Semantic Webs. We describe the RDF(S)-dedicated semantic search engine, CORESE, based on a correspondence between RDF(S) and Conceptual Graphs, and we illustrate the interest of Conceptual Graphs through the analysis of several real-world applications based on CORESE