Towards the Semantic Text Retrieval for Indonesian

The research of Tolerance Rough Sets Model (TRSM) ever conducted acted  in accordance with the rational approach of AI perspective.  This  thesis 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 thesis  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 thesis is a baby step  toward the objective.