Gloria Virginia

A Semantic Text Retrieval for Indonesian Using Tolerance Rough Sets Models

The research of Tolerance Rough Sets Model (TRSM) ever conducted acted in accordance with the rational approach of AI perspective. This article presented studies who complied with the contrary path, i.e. a cognitive approach, for an objective of a modular framework of semantic text retrieval system based on TRSM specifically for Indonesian. In addition to the proposed framework, this article proposes three methods based on TRSM, which are the automatic tolerance value generator, thesaurus optimization, and lexicon-based document representation. All methods were developed by the use of our own corpus, namely ICL-corpus, and evaluated by employing an available Indonesian corpus, called Kompas-corpus. The endeavor of a semantic information retrieval system is the effort to retrieve information and not merely terms with similar meaning. This article is a baby step toward the objective.