Automatic Question Generation In Education Domain Based On Ontology

Kusuma, Selvia Ferdiana; Siahaan, Daniel; Fatichah, Chastine

doi:10.1109/cenim51130.2020.9297991

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Oleh sebab itu penelitian ini memperkenalkan model penyimpanan informasi baru berbasis kombinasi ontologi. Ontologi adalah representasi informasi dalam bentuk graph yang saling berelasi [5]. Ontologi berfungsi untuk merelasikan ratusan bahkan ribuan informasi.…”

Section: Kata Kunci-representasi Informasi Ontologi Buku Teks Kombinasi Ontologiunclassified

Pendekatan Baru untuk Merepresentasi Informasi di Bidang Pendidikan Menggunakan Kombinasi Ontologi

Kusuma

Sukya

Heriadi

2021

JEPIN

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Ontologi adalah sebuah konsep yang dirancang untuk merepresentasikan relasi antar informasi. Ontologi dapat digunakan untuk merepresentasikan informasi berbentuk hierarki maupun non hierarki. Namun, model ontologi yang ada saat ini pada umumnya selalu bersifat domain spesifik. Peran ahli sangat dominan ketika membuat ontologi yang bersifat domain spesifik. Kelengkapan informasi pada ontologi tergantung pada kemampuan ahli pada domain tersebut dan ahli di bidang teknologi informasi untuk merepresentasikan informasi ke dalam bentuk ontologi. Oleh sebab itu diperlukan model ontologi baru agar dapat menghasilkan ontologi yang tidak bersifat domain spesifik. Sehingga mempermudah proses representasi informasi ke dalam bentuk ontologi dan mengurangi peran ahli dalam proses pembuatan ontologi tersebut. Model ontologi baru yang diusulkan adalah kombinasi dari ontologi taksonomi dan ontologi kalimat. Informasi berbentuk hierarki akan direpresentasikan dalam bentuk ontologi taksonomi, sedangkan informasi non-hierarki akan direpresentasikan dalam bentuk ontologi kalimat. Berdasarkan uji coba yang telah dilakukan, diketahui bahwa kombinasi ontologi yang diusulkan dapat menghasilkan ontologi yang tidak bersifat domain spesifik, mempermudah proses pembangkitan ontologi, dan mengurangi peran ahli dalam pembuatan ontologi tersebut.

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Section: Kata Kunci-representasi Informasi Ontologi Buku Teks Kombinasi Ontologiunclassified

Pendekatan Baru untuk Merepresentasi Informasi di Bidang Pendidikan Menggunakan Kombinasi Ontologi

Kusuma

Sukya

Heriadi

2021

JEPIN

Self Cite

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“…Ontology is part of information technology used for one domain so that it can generate questions [2]. Research in ontology-based questions has developed in various domains, such as music, biology and knowledge representation [3], [4]. Ontology presents information facts in their logical relationship, thus providing opportunities for the development of historical research [5].…”

Section: Introductionmentioning

confidence: 99%

Question Answering System at the Kingdom of Sumedang Larang with Naïve Bayes Method

Saldhi

Baizal

Dharayani

2022

JoSYC

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The Sumedang Larang Kingdom is one of the kingdoms in Indonesia which was founded by Prabu Tajimalela in 721 AD. The Sumedang Larang Kingdom is known as the national history of Indonesia. Still, most of the current generation does not know the history of the Sumedang Larang Kingdom, especially the younger generation. Therefore, we developed a question-and-answer system to seek information about the Sumedang Larang Kingdom. With the development of information technology, research on question answering systems is applied to research on Biomedical Questions to produce correct answers. Our system will help literacy about the Sumedang Larang Kingdom for the younger generation, especially students, and increase Indonesian cultural assets. The QA system aims to generate and provide precise short answers to user questions by automatically using information extraction and natural language processing methods. To collect and create questions, we use the concept of ontology. In addition, we use the Natural Language Naïve Bayes method to answer user questions. We built a QA system that can help students find information about the history of the Sumedang Larang Kingdom. Based on the accuracy of the results of testing the method we propose. In our evaluation, we involve the Decision Tree method as the base model. We note that the accuracy of the Naïve Bayes method is higher than that of the Decision Tree. The accuracy result of Naïve Bayes at the ratio of 8:2 and 7:3 is 67%, while the Decision Tree is only 56%.

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AGeES: Automatic Multiple Choice Question (MCQ) Generation from Extractive Summary of Video Lectures Using BertSum

Muthusamy Sellamuthu,

Basavaraj,

Balaji

et al. 2023

Lecture Notes in Educational Technology

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Automatic Question Generation In Education Domain Based On Ontology

Cited by 3 publications

References 17 publications

Pendekatan Baru untuk Merepresentasi Informasi di Bidang Pendidikan Menggunakan Kombinasi Ontologi

Pendekatan Baru untuk Merepresentasi Informasi di Bidang Pendidikan Menggunakan Kombinasi Ontologi

Question Answering System at the Kingdom of Sumedang Larang with Naïve Bayes Method

AGeES: Automatic Multiple Choice Question (MCQ) Generation from Extractive Summary of Video Lectures Using BertSum

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