Representasi Word Graph Menggunakan XML untuk Kata Benda dalam Bahasa Indonesia

Abstract

Knowledge graph is one of the methods that can represent semantics of a language. In natural language there are many cases in which the meaning of a sentence is ambiguous. Knowledge graph representation that used in natural language can solve this problem. One of the smallest parts of the knowledge graph is a word graph. Word graph is a graph that represents the meaning of a word. In this study, we represent word graph for Indonesian nouns using eXtensible Markup Language (XML). By using XML, data can be easily interchanged and provide more dynamic data. There were 20 patterns of nominal word graph used in this study. All of the patterns are generated from previous research. Each XML document has a root element which is called graph element. Graph element has two child elements, components and relationships. Components contain all components that form the word graph, and relationships element contain all relation in the word graph. Knowledge graph for Indonesian nouns has been successfully represent in XML. The result of this study is 20 XML documents of Indonesian nouns word graph pattern, and each XML document matching the original pattern in the previous research.