  The fundamental issue in knowledge representation is to provide a precise
definition of the knowledge that they possess in a manner that is independent
of procedural considerations, context free and easy to manipulate, exchange and
reason about. Knowledge must be accessible to everyone regardless of their
native languages. Universal Networking Language (UNL) is a declarative formal
language and a generalized form of human language in a machine independent
digital platform for defining, recapitulating, amending, storing and
dissipating knowledge among people of different affiliations. UNL extracts
semantic data from a native language for Interlingua machine translation. This
paper presents the development of a graphical tool that incorporates UNL to
provide a visual mean to represent the semantic data available in a native
text. UNL represents the semantics of a sentence as a conceptual hyper-graph.
We translate this information into XML format and create a graph from XML,
representing the actual concepts available in the native language
