CFP last date
22 April 2024
Reseach Article

Semantic Search based on Ontology with Case Study: Indonesian Batik

by Tri Kustanti Rahayu, Eko Sediyono, Oky Dwi Nurhayati
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 170 - Number 7
Year of Publication: 2017
Authors: Tri Kustanti Rahayu, Eko Sediyono, Oky Dwi Nurhayati
10.5120/ijca2017914917

Tri Kustanti Rahayu, Eko Sediyono, Oky Dwi Nurhayati . Semantic Search based on Ontology with Case Study: Indonesian Batik. International Journal of Computer Applications. 170, 7 ( Jul 2017), 20-23. DOI=10.5120/ijca2017914917

@article{ 10.5120/ijca2017914917,
author = { Tri Kustanti Rahayu, Eko Sediyono, Oky Dwi Nurhayati },
title = { Semantic Search based on Ontology with Case Study: Indonesian Batik },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 170 },
number = { 7 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume170/number7/28084-2017914917/ },
doi = { 10.5120/ijca2017914917 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:17:52.244766+05:30
%A Tri Kustanti Rahayu
%A Eko Sediyono
%A Oky Dwi Nurhayati
%T Semantic Search based on Ontology with Case Study: Indonesian Batik
%J International Journal of Computer Applications
%@ 0975-8887
%V 170
%N 7
%P 20-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many kind of searching technique has been developed today. One of these techniques is using ontology to support semantic technology. This technology is applied on this research. It is an experimental research to develop a semantic search based on ontology with case study on Indonesian article about batik. There are so many batik articles on the internet today. But the information about batik can not be easy to find. It because Indonesia is rich with batik. So many place produce batik with their own characteristic. The aim is to expand the meaning of keyword that user inputted. And the result shows that cosine value with expanded ontology is higher than without ontology. It almost double the value of cosine without ontology.

References
  1. Li Y., Wang Y., Huang X, 2007, A Relation Based Search Engine In Semantic Web, IEEE Transaction on knowledge and data engineering 19(2), 273-282 (February)
  2. Hebeler John, Matthew Fisher, Ryan Blace, Andrew Perez Lopez, 2009, Semantic Web Programming, Wiley Peublishing Inc, Indianapolis, Indiana
  3. Sarno Riyanarto dan Rahutomo Faisal, 2008, “Penerapan Algoritma Weighted Tree Similarity Untuk Pencarian Semantik Wikipedia”, JUTI volume 7, Nomor 1, Januari 2008: 35-42
  4. Kara Soner, Ozgur Alan, Orkunt Sabuncu, Samet Akpinar, Nihan K. Cicekli, Ferda N Alpaslan, 2012, An Ontology Based Retrieval System Using Semantic Indexing, International Journal of Information Systems 37 (2012) 294-305
  5. Christian, Lilik Henri, 2014, Pencarian Informasi Berbasis Ontologi Menggunakan Semantik Indexing Pada Website Jejaring Sosial, Masters Thesis, Diponegoro University, Semarang
  6. Akbar Agus Subhan, 2015, Analisis Sentimen Berbasis Ontologi di Level Kalimat Untuk Mengukur Persepsi Produk, Masters Thesis, Diponegoro University, Semarang
  7. Lee Jihyun, Jun-Ki Min, Alice Oh, Chin-Wan Chung, 2013, “Effective Rangking and Search Techniques for Web Resources considering Semantic Relationships”, International Journal of Information Processing and Management 50 (2014) 132-135
  8. Syerina Azlin Md Nasir, Nor Laila Md Noor, 2010, Integrating ontology based approach in Knowledge Management System (KMS): Construction of Batik Heritage Ontology, International conference of science and social research.
Index Terms

Computer Science
Information Sciences

Keywords

TF/IDF Vector Space Model Document Term Ontology. Batik Article