Representasi Word Graph Menggunakan XML untuk Kata Sifat dalam Bahasa Indonesia

Abstract

Knowledge Graph (KG) is a method in natural language processing. A part of knowledge graph is known as word graph, a graph which describes the semantic of a word. In this research, we represent word graphs for Indonesian adjectives using eXtensible Markup Language (XML). XML is used to provide facilities in the publication and exchange of data for the next research. Indonesian adjectives in this research are based on the third edition of Kamus Besar Bahasa Indonesia (KBBI). The general pattern in adjective word graph consists of 20 patterns generated from previous research. KG concept has successfully represented in XML forms to facilitate the exchange of data. The result of this research are 21 documents formated in XML forms and the testing result has an accuracy of 100%.