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Semantic Search based on Ontology with Case Study: Indonesian Batik

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

Tri Kustanti Rahayu, Eko Sediyono and Oky Dwi Nurhayati. Semantic Search based on Ontology with Case Study: Indonesian Batik. International Journal of Computer Applications 170(7):20-23, July 2017. BibTeX

@article{10.5120/ijca2017914917,
	author = {Tri Kustanti Rahayu and Eko Sediyono and Oky Dwi Nurhayati},
	title = {Semantic Search based on Ontology with Case Study: Indonesian Batik},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {170},
	number = {7},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {20-23},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume170/number7/28084-2017914917},
	doi = {10.5120/ijca2017914917},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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

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Keywords

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