NOSQL Ontology Storage for Indonesian Regional Folk Songs

Mohammad Nazir Arifin, Fauzan Prasetyo Eka Putra, Riyanarto Sarno, Nurul Fajrin Ariyani, Leonard Peter Gelu

Abstract


NOSQL databases are in the base of storage of Big Data. They can store large volumes of structured, semi-structured, and unstructured data. Using NOSQL database to store ontology can take advantage of Big Data storage. This give benefits in storing Indonesian folk songs storage that usually vary and have sparse / incomplete data. This paper illustrates an approach to store data of Indonesia folk songs in NOSQL based database. We choose to deal with MongoDB. We present our steps of approach in storing, collecting, analyzing and retrieving ontology on NOSQL based database.

 

Keywords : Ontology, NOSQL, MongoDB, Indonesian Folk song, and Ontology Storage.


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Proceeding International Conference on Information Technology and Business (ICITB) is abstracting and indexing in the following databases:

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