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Authors: Olawande Daramola ; Ibukun Afolabi ; Ibidapo Akinyemi and Olufunke Oladipupo

Affiliation: Covenant University, Nigeria

Keyword(s): Ontology, Ontology-based Information Extraction, Automatic Essay Scoring, Subject-based Automatic Scoring.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Data Engineering ; e-Business ; Enterprise Information Systems ; Expert Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies and the Semantic Web ; Ontology Engineering ; Pattern Recognition ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: The procedure for the grading of students’ essays in subject-based examinations is quite challenging particularly when dealing with large number of students. Hence, several automatic essay-grading systems have been designed to alleviate the demands of manual subject grading. However, relatively few of the existing systems are able to give informative feedbacks that are based on elaborate domain knowledge to students, particularly in subject-based automatic grading where domain knowledge is a major factor. In this work, we discuss the vision of subject-based automatic essay scoring system that leverages on semi-automatic creation of subject ontology, uses ontology-based information extraction approach to enable automatic essay scoring, and gives informative feedback to students.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Daramola, O.; Afolabi, I.; Akinyemi, I. and Oladipupo, O. (2013). Using Ontology-based Information Extraction for Subject-based Auto-grading. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD; ISBN 978-989-8565-81-5; ISSN 2184-3228, SciTePress, pages 373-378. DOI: 10.5220/0004625903730378

@conference{keod13,
author={Olawande Daramola. and Ibukun Afolabi. and Ibidapo Akinyemi. and Olufunke Oladipupo.},
title={Using Ontology-based Information Extraction for Subject-based Auto-grading},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD},
year={2013},
pages={373-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004625903730378},
isbn={978-989-8565-81-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD
TI - Using Ontology-based Information Extraction for Subject-based Auto-grading
SN - 978-989-8565-81-5
IS - 2184-3228
AU - Daramola, O.
AU - Afolabi, I.
AU - Akinyemi, I.
AU - Oladipupo, O.
PY - 2013
SP - 373
EP - 378
DO - 10.5220/0004625903730378
PB - SciTePress