Building Ontology for Toponyms as a component of Automatic Myanmar Text Summarization System

Abstract

Since people have to accept enormous information nowadays, they are unmanageable to absorb the main themes of their interested articles. More and more information are overloaded, Automatic Text Summarization (ATS) becomes more and more important. ATS is a shortened version of original text including the essential, exact and crucial parts. For the news articles concerned with natural disaster domain, the disaster site is required to know as exact as possible. However, some news text depicts the place names of the hazards generally. In that case, ATS needs knowledge repositories of toponyms (place names) in order to figure out the specific locations. This paper presents ontology about toponyms written in Myanmar language. The ontology serves as a component of Automatic Myanmar Text Summarization System for natural disaster domain. As an ontology development environment, Protégé 4.2 alpha, is used since it is applied by researchers and programmers broadly as well as it supports Unicode.