Analysis Tool for UNL-Based Knowledge Representation

TL;DR

This paper introduces a graphical tool that visualizes semantic data extracted from native language texts using UNL, facilitating better knowledge representation and translation across languages.

Contribution

It develops a visual tool that converts UNL semantic hyper-graphs into XML and graphical representations, enhancing understanding and manipulation of semantic data.

Findings

Effective visualization of UNL semantic graphs

Facilitates cross-language knowledge exchange

Improves understanding of semantic structures

Abstract

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