Search Engine Dokumen RDF Tanaman Obat menggunakan Sesame dan Lucene

Abstract

Increasing the diversity of medicinal plants causing documentation of the results of research medicinal plants was increasing that led to the difficulty in terms of search of a document. Required a searching system that can be retrieves documents using query. In this study, we will develop searching system for RDF documents using Sesame and Lucene. TF-idf used as relevant value about documents retrivied. Query without boosting term generate average precision 0.736 while query with boosting term 5 generate average precision 0.882.