Ontology-Based Semantic Search on Tourism Information Search System

  • Ranestari Sastriani Telkom University
  • Z K Abdurahman Baizal Telkom University
  • Dana Sulistyo Kusumo Telkom University
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Nowadays, search engines are used to find various information on the Web.  Search engines that are implied traditional search based on keywords do not always provide relevant information. Meanwhile by semantic search can provide relevant results because it can understand the meaning of the context and its connection. One approach to semantic search is to use ontology. Ontology is used to define concepts and relevant relations in a domain. In Information Retrieval (IR), an ontology  encompasses in returning relevant information from a collection of unstructured information. One application of ontology in IR is query expansion. In this research, The query entered by the users will be searched for its relation to the ontology domain which will be expanded later. We use tourism in Bandung Raya as an ontology domain.  The search in this research is represented by using Vector Space Model (VSM). Furthermore, relevant documents  from search result will be provided to users. Based on the results of testing, the system that is built is able to provide relevant information with an average MAP value better than the search system that only uses traditional search methods.


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W. Alromima, I. F., R. Elgohary, and M. Aref, “Ontology-based Query Expansion for Arabic Text Retrieval,” Int. J. Adv. Comput. Sci. Appl., vol. 7, no. 8, pp. 223–230, 2016.

T. Boonyoung and A. Mingkhwan, “Semantic ranking based on Computer Science Ontology weight,” 2014 9th Int. Conf. Digit. Inf. Manag. ICDIM 2014, no. February 2015, pp. 86–91, 2014.

C. D. Manning, “Intro to Information Retrieval,” Inf. Retr. Boston., no. c, pp. 1–18, 2009.

H. Dong, F. K. Hussain, and E. Chang, “A survey in traditional information retrieval models,” 2008 2nd IEEE Int. Conf. Digit. Ecosyst. Technol. IEEE-DEST 2008, no. March, pp. 397–402, 2008.

D.Nandini, Semantic Web and Ontology. 2014.

C. Paz-Trillo, R. Wassermann, and P. P. Braga, “An information retrieval application using ontologies,” J. Brazilian Comput. Soc., vol. 11, no. 2, pp. 17–31, 2005.

A. Roshdi and A. Roohparvar, “Review: Information Retrieval Techniques and Applications,” Int. J. Comput. Networks Commun. Secur., vol. 3, no. 9, pp. 373–377, 2015.

R. Suganyakala and R. R. Rajalaxmi, “Movie related information retrieval using ontology based semantic search,” 2013 Int. Conf. Inf. Commun. Embed. Syst. ICICES 2013, pp. 421–424, 2013.

J. M. Kassim and M. Rahmany, “Introduction to semantic search engine,” Proc. 2009 Int. Conf. Electr. Eng. Informatics, ICEEI 2009, vol. 2, no. August, pp. 380–386, 2009.

B. Abu-Salih, “Applying Vector Space Model (VSM) Techniques in Information Retrieval for Arabic Language,” 2018.

S. Shrivastava and S. Agrawal, “An Overview of Building Blocks of Semantic Web,” Int. J. Comput. Appl., vol. 152, no. 10, pp. 17–20, 2016.

L. Afuan and Azhari, “Penerapan SEMANTIK WEB PADA ONTOLOGI LEARNING RESOURCE Repositori,” Semin. Nas. Teknol. Inf. dan Komun. 2016 (SENTIKA 2016), vol. 2016, no. Sentika, pp. 252–256, 2016.

“Semantic Web.” [Online]. Available: https://www.w3.org/standards/semanticweb/.

A. Nugroho, “Membangun Ontologi Jurnal Menggunakan Protege,” J. Transform., vol. 10, no. 1, p. 20, 2018.

Gita Desrianti, “Akurasi dalam Pencarian pada Search Engines,” Makal. II2092 Probab. dan Stat., vol. 1, no. 1, p. 2011, 2011.

D. Mardiana, “Tempat Wisata di Bandung.” [Online]. Available:https://tempatwisatadibandung.info/.

How to Cite
Sastriani, R., Baizal, Z. K. A., & Kusumo, D. S. (2020). Ontology-Based Semantic Search on Tourism Information Search System. Indonesia Journal on Computing (Indo-JC), 5(1), 103-114. https://doi.org/10.34818/INDOJC.2020.5.1.397
Information System