Enhancing the Relevance of Searching Result of Songs’ Information Using Ontology

DOI

10.2991/aisr.k.200424.002How to use a DOI?

Keywords

ontology, semantic web, XML, RDF

Abstract

The crawler and Machine Learning based search engine are not optimal in determining relevant search results. The aim of this research, therefore, is to increase the relevance of search engine results. This design was carried out on a semantic web, using ontology with RDF due to its knowledge representation, and SPARQL as a query to retrieve information contained in the RDF Ontology. In this study, the song information ontology framework was designed and implemented using the Protégé tool with the SPARQL query language. Mapping in SPARQL queries affects the speed and relevance of the application while displaying search results. The results of the design were tested using simulated web applications with the Java Server Pages (JSP) programming language and search techniques were categorized. Information used as the object is obtained from songs which deals with the data at the knowledge level using semantic technologies delivered from steady and trustworthy base. An initial evaluation of the system showed favorable results from the tests conducted on 100 sample songs, with 100% relevance and precision ratio of 1:1.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Muhammad Ihsan JAMBAK
AU  - Indah SURYANI
AU  - Dedy KURNIAWAN
PY  - 2020
DA  - 2020/05/06
TI  - Enhancing the Relevance of Searching Result of Songs’ Information Using Ontology
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 9
EP  - 16
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.002
DO  - 10.2991/aisr.k.200424.002
ID  - JAMBAK2020
ER  -