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Information Retrieval System for Indonesian Manuscript using Semantic Web

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Vihi Atina, Eko Sediyono, R. Rizal Isnanto

Vihi Atina, Eko Sediyono and Rizal R Isnanto. Information Retrieval System for Indonesian Manuscript using Semantic Web. International Journal of Computer Applications 170(8):29-34, July 2017. BibTeX

	author = {Vihi Atina and Eko Sediyono and R. Rizal Isnanto},
	title = {Information Retrieval System for Indonesian Manuscript using Semantic Web},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {170},
	number = {8},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {29-34},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2017914930},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The increase number of manuscripts and their diversity add the difficulty of searching and arranging for relevant manuscripts. The quality of search results provided by search engines has not been maximized in response to user requests because it does not involve semantic elements in the search process. It is necessary to build a information retrieval system for manuscript that makes it easier for researchers finding the title of the manuscript accordance with the topic of their research.

Information retrieval system for manuscript is built using semantic web. Manuscript data used in this research are Indonesian manuscript. Stages build system include data crawler process, build ontologies, NLP process, SPARQL query representation process and indexing process.

Information retrieval system for Indonesian manuscript can display the title and link of manuscript based on the search sentence entered. Tests are conducted on 3 types of search sentences with recall and precision methods. The recall value indicates that the owned manuscripts are returned 93.3% by information retrieval system. The precision value indicates that the results are returned 100% relevan by information retrieval system.


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Manuscript, crawler, semantic web, ontology, NLP, SPARQL query