(Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia)(2) Alisya Amalia Putri Hasanah
(Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia)(3) Yuli Fauziah
(Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia)(4) Shoffan Saifullah
(Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia)*corresponding author
AbstractDrug searches are still based on drug names and brands, making it difficult for patients to come looking for a cure by saying that they feel sick. Likewise, when looking for drugs and information about their content to avoid overdose errors when changing drugs when drugs are supposed to be unavailable. Based on the issues raised, a study was conducted on applying semantic web ontology to search for drugs that can appear based on patients’ names, compositions, or complaints of diseases. Protégé 5.5 serves to represent drug information based on knowledge. The application uses Netbeans with Jena API as a library and creates data and drug information on the semantic web. Drug search also uses similar in-formation meaning based on user knowledge. By representing knowledge on the search for drug and disease information with semantic web ontology technology, it can meet the purpose of research, namely to improve drug and disease information search following the user’s wishes.
Keywordssemantic web; ontology; drug and disease
|
DOIhttps://doi.org/10.31763/sitech.v2i1.561 |
Article metrics10.31763/sitech.v2i1.561 Abstract views : 1220 | PDF views : 313 |
Cite |
Full Text Download
|
References
S. Staab and R. Studer, “Handbook on Ontologies,” 2009, doi: 10.1007/978-3-540-92673-3.
K. Kozaki, Y. Hayashi, M. Sasajima, S. Tarumi, and R. Mizoguchi, “Understanding Semantic Web Applications,” Semant. Web, pp. 524–539, doi: 10.1007/978-3-540-89704-0_36.
A. Kumari and J. Thakur, “Semantic Web Search Engines : A Comparative Survey,” Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., pp. 107–115, Jan. 2019, doi: 10.32628/CSEIT195115.
“SPARQL Query Results XML Format (Second Edition).” https://www.w3.org/TR/rdf-sparql-XMLres/ (accessed Apr. 03, 2022).
“OWL Web Ontology Language Reference.” https://www.w3.org/TR/owl-ref/ (accessed Apr. 03, 2022).
J. Euzenat and P. Shvaiko, “Ontology Matching,” 2013, doi: 10.1007/978-3-642-38721-0.
M. Horridge, “A Practical Guide To Building OWL Ontologies Using Protege 4 and CO-ODE Tools Edition 1.3,” Mar. 2011, Accessed: Apr. 03, 2022. [Online]. Available: http://mowl-power.cs.man.ac.uk/protegeowltutorial/resources/ProtegeOWLTutorialP4_v1_3.pdf.
A. Rashad Khalifa, “E-Learning and Semantic Web,” Int. J. Intell. Inf. Syst., vol. 4, no. 5, p. 84, 2015, doi: 10.11648/j.ijiis.20150405.11.
Meyliana, Surjandy, E. Fernando, C. Cassandra, and Marjuki, “Medicine Information Record Based on Blockchain Technology,” 2021 2nd Int. Conf. Innov. Creat. Inf. Technol., pp. 169–173, Sep. 2021, doi: 10.1109/ICITech50181.2021.9590133.
G. Barisevičius et al., “Supporting Digital Healthcare Services Using Semantic Web Technologies,” pp. 291–306, 2018, doi: 10.1007/978-3-030-00668-6_18.
C. V. S. Avila, W. Franco, A. D. P. Venceslau, T. V. Rolim, V. M. P. Vidal, and V. M. Pequeno, “MediBot: An Ontology-Based Chatbot to Retrieve Drug Information and Compare its Prices,” J. Inf. DATA Manag., vol. 12, no. 2, pp. 202–220, 2021, doi: 10.5753/jidm.2021.2148.
M. Asfand-E-Yar and R. Ali, “Semantic Integration of Heterogeneous Databases of Same Domain Using Ontology,” IEEE Access, vol. 8, pp. 77903–77919, 2020, doi: 10.1109/ACCESS.2020.2988685.
S. Kanza and J. G. Frey, “A new wave of innovation in Semantic web tools for drug discovery,” Expert Opin. Drug Discov., vol. 14, no. 5, pp. 433–444, May 2019, doi: 10.1080/17460441.2019.1586880.
M. C. Silva, D. Faria, and C. Pesquita, “Matching Multiple Ontologies to Build a Knowledge Graph for Personalized Medicine,” , al. Semant. Web. ESWC 2022. Lect. Notes Comput. Sci., vol. 13261, pp. 461–477, 2022, doi: 10.1007/978-3-031-06981-9_27.
T. Thomas and R. Mervin, “Intelligent Agent System Using Medicine Ontology,” Semant. Web Eff. Healthc., pp. 139–157, Nov. 2021, doi: 10.1002/9781119764175.ch6.
R. M. Afifa, “Implementasi Web Scraping Pada Web Semantik Berbasis Ontologi Untuk Data Obat dan Penyakit,” Repos. Institusi Univ. Sumatera Utara, 2018, Accessed: Apr. 03, 2022. [Online]. Available: https://repositori.usu.ac.id/handle/123456789/5531.
R. Ekaningtyas, M. A. I. Pakereng, and Hendry, “Aplikasi Pencarian Produk Obat-obatan yang Beredar Sesuai Standar BPOM Berbasis Web Semantik,” Repos. Univ. Kristen Satya Wacana, 2014, Accessed: Apr. 03, 2022. [Online]. Available: https://repository.uksw.edu/bitstream/123456789/12191/1/T1_672009196_Judul.pdf.
“OWL Web Ontology Language Overview.” https://www.w3.org/TR/owl-features/ (accessed Apr. 03, 2022).
N. F. Noy and D. L. Mcguinness, “Ontology development 101: A guide to creating your first ontology,” Tech. Rep. KSL-01-05 SMI-2001-0880, Stanford Knowl. Syst. Lab. Stanford Med. Informatics, 2001, Accessed: Apr. 03, 2022. [Online]. Available: https://corais.org/sites/default/files/ontology_development_101_aguide_to_creating_your_first_ontology.pdf.
“OWL - Semantic Web Standards.” https://www.w3.org/OWL/ (accessed Apr. 03, 2022).
T. R. Gruber, “A Translation Approach to Portable Ontology Specifications - Definition of Ontology as Specification,” Knowl. Acquis., vol. 5, no. 2, pp. 199–220, Feb. 1993, Accessed: Apr. 03, 2022. [Online]. Available: https://tomgruber.org/writing/ontolingua-kaj-1993.
“Extensible Markup Language (XML) 1.0 (Fifth Edition).” https://www.w3.org/TR/REC-xml/ (accessed Apr. 03, 2022).
“Protégé.” https://protege.stanford.edu/products.php (accessed Apr. 03, 2022).
“RDF 1.1 Primer.” https://www.w3.org/TR/2014/NOTE-rdf11-primer-20140624/ (accessed Apr. 03, 2022).
“XML Schema Part 1: Structures Second Edition.” https://www.w3.org/TR/2004/REC-xmlschema-1-20041028/ (accessed Apr. 03, 2022).
Sugiyono, “Metode Penelitian Kuantitatif, Kualitatif dan R&D,” pp. 1–334, 2016. Available: Google Scholar.
G. Ataro, “Methods, methodological challenges and lesson learned from phenomenological study about OSCE experience: Overview of paradigm-driven qualitative approach in medical education,” Ann. Med. Surg., vol. 49, pp. 19–23, Jan. 2020, doi: 10.1016/j.amsu.2019.11.013.
S. Suhirman, A. T. Hidayat, W. A. Saputra, and S. Saifullah, “Website-Based E-Pharmacy Application Development to Improve Sales Services Using Waterfall Method,” Int. J. Adv. Data Inf. Syst., vol. 2, no. 2, pp. 114–129, Oct. 2021, doi: 10.25008/ijadis.v2i2.1226.
A. T. Hidayat, A. M. D. Dewantara, and S. Saifullah, “The Development of Website on Management Information System for E-commerce and Services,” J. Sisfokom (Sistem Inf. dan Komputer), vol. 9, no. 3, pp. 380–386, Oct. 2020, doi: 10.32736/sisfokom.v9i3.992.
S. Jain, K. R. Seeja, and R. Jindal, “A fuzzy ontology framework in information retrieval using semantic query expansion,” Int. J. Inf. Manag. Data Insights, vol. 1, no. 1, p. 100009, Apr. 2021, doi: 10.1016/j.jjimei.2021.100009.
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Herlina Jayadianti, Alisya Amalia Putri Hasanah
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
___________________________________________________________
Science in Information Technology Letters
ISSN 2722-4139
Published by Association for Scientific Computing Electrical and Engineering (ASCEE)
W : http://pubs2.ascee.org/index.php/sitech
E : sitech@ascee.org, andri@ascee.org, andri.pranolo.id@ieee.org
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0