PENCARIAN INFORMASI BERBASIS ONTOLOGI MENGGUNAKAN SEMANTIK INDEXING PADA WEBSITE JEJARING SOSIAL

Abstract

In this study, the ontology framework for domain travel and tourism has been constructed using data source from twitter . A crawler was built to retrieve data from twitter . This study is based on considerable amount of information on twitter but short enough information so that when doing a search of information , the results are less relevant . With the development of ontologies , the objectives are more relevant search results because the knowledge of the information has been expanded . There are three stages in this research, namely the development of a crawler , ontology development and evaluation using Solr server . The method used in the construction of ontology is a combination of top-down and bottom-up . In the evaluation phase precission average value calculation used to calculate the level of accuracy of search results . The results of this study is a crawler application to retrieve data from Twitter, an ontology framework for domain travel and tourism , and the evaluation of the data searching . The mean average values of simple data precission crawler results by 36.60 % and the 91.50 % of the data ontology . These results indicate that the accuracy of the ontology data is better than simple data from crawler. This ontology framework can be developed for a wider coverage of the domain , and crawlers applications can be developed to retrieve data from another data sources.