Integrasi Sistem Viewer Modul Word Graph dengan Modul XML Kata dalam Bahasa Indonesia

Abstract

Text processing is one of the natural language processing technology to analyze the meaning of a text. The biggest challenge in text processing is ambiguity. To deal with it, the meaning of a text can be represented as knowledge. One method for representing knowledge in the form of graph is Knowledge Graph (KG). KG implemented the analysis of the meaning of a text based on semantic aspects. Research about XML module word graph has been to represent 121 word graph patterns of five types of words and adverb phrases in Indonesian. XML documents can be translated into a graph using viewer module web-based. The objective of this research is to integrate the viewer modul and XML modules word graph so that the system can accept inputs and displays the word graph with it is corresponding XML document. This tests carried out using 133 words Indonesian. The system can analyze all of the word correctly.