A Conceptual Model of Indonesian Question Answering System based on Semantic Web

Abstract

This study aims to develop a conceptual model of question answering system in Bahasa using Semantic web technology. A trigger was built to periodically collect data scattered on the internet in a data center to shorten the query process on data without reducing the data completeness. The test case domain was automotive. This study used four types of ontologies: main ontology, ontologies from manufacturers, dealers, and rentals. This research has some novelties, such as solving the weakness of distributed and centralized data and combining the advantages of both by storing distributed data into a pool (centralized data) periodically, then querying the pool. Furthermore, it makes contribution by providing a conceptual model of Indonesian question answering system, particularly in automotive domain. This has some implications, such as extend the body of knowledge of computer science, especially semantic web and ontology fields.