Journal
Ontology Engineering for Modeling National Student Achievements in Higher Education
Edu Komputika Journal
ISSN 2599-297X, 2252-6811
Published 2024-12-31
Publisher Universitas Negeri Semarang
Language eng
Abstract
The need for structured and semantically rich data in higher education underscores the role of ontology-based knowledge modeling. This study develops an ontology to represent national-level student achievements, covering key aspects such as institution, achievement field, category, year, level, and student status. Using a formal ontology engineering approach, the ontology was developed in Protégé and encoded in OWL. Evaluation involved technical validation and reasoning tests including class subsumption, consistency checking, instance classification, and rule-based inference to assess logical soundness and semantic correctness. Description Logic (DL) queries were also executed based on competency questions to evaluate the ontology’s ability to support semantic querying. The results demonstrate that the ontology effectively supports knowledge inference and structured data retrieval, offering strong potential for integration within semantic web environments. This provides a foundation for data interoperability and knowledge sharing across educational systems at the national level. Future work includes expanding the ontology to incorporate dynamic achievement updates and linking with external educational data sources.
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Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/edukom/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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<dc:title xml:lang="en">Ontology Engineering for Modeling National Student Achievements in Higher Education</dc:title>
<dc:creator xml:lang="en">Sudarni, Ajeng Rahma</dc:creator>
<dc:creator xml:lang="en">Prasetyo, Septian Eko</dc:creator>
<dc:creator xml:lang="en">Ardhiansyah, Alfian </dc:creator>
<dc:creator xml:lang="en">Khaira, Mulil</dc:creator>
<dc:subject xml:lang="en">Ontology Engineering</dc:subject>
<dc:subject xml:lang="en">Reasoning</dc:subject>
<dc:subject xml:lang="en">Semantic Web</dc:subject>
<dc:subject xml:lang="en">Student Achivement</dc:subject>
<dc:description xml:lang="en">The need for structured and semantically rich data in higher education underscores the role of ontology-based knowledge modeling. This study develops an ontology to represent national-level student achievements, covering key aspects such as institution, achievement field, category, year, level, and student status. Using a formal ontology engineering approach, the ontology was developed in Protégé and encoded in OWL. Evaluation involved technical validation and reasoning tests including class subsumption, consistency checking, instance classification, and rule-based inference to assess logical soundness and semantic correctness. Description Logic (DL) queries were also executed based on competency questions to evaluate the ontology’s ability to support semantic querying. The results demonstrate that the ontology effectively supports knowledge inference and structured data retrieval, offering strong potential for integration within semantic web environments. This provides a foundation for data interoperability and knowledge sharing across educational systems at the national level. Future work includes expanding the ontology to incorporate dynamic achievement updates and linking with external educational data sources.</dc:description>
<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
<dc:date>2024-12-31</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://journal.unnes.ac.id/journals/edukom/article/view/28254</dc:identifier>
<dc:identifier>10.15294/edukom.v11i2.28254</dc:identifier>
<dc:source xml:lang="en">Edu Komputika Journal; Vol. 11 No. 2 (2024): Edu Komputika Journal; 126-135</dc:source>
<dc:source>2599-297X</dc:source>
<dc:source>2252-6811</dc:source>
<dc:source>10.15294/edukom.v11i2</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://journal.unnes.ac.id/journals/edukom/article/view/28254/5633</dc:relation>
<dc:rights xml:lang="en">Copyright (c) 2024 Edu Komputika Journal</dc:rights>
</oai_dc:dc>
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Cite this article
APA 7
Sudarni, A. R., Prasetyo, S. E., Ardhiansyah, A., & Khaira, M. (2024). Ontology Engineering for Modeling National Student Achievements in Higher Education. Edu Komputika Journal, 11(2), 126–135. https://doi.org/10.15294/edukom.v11i2.28254
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IEEE
A. R. Sudarni, S. E. Prasetyo, A. Ardhiansyah, and M. Khaira, “Ontology Engineering for Modeling National Student Achievements in Higher Education,” Edu Komputika Journal, vol. 11, no. 2, pp. 126–135, 2024, doi: 10.15294/edukom.v11i2.28254.
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