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Research of Automated Assessment of Subjective Tests Based on Domain Ontology

  • Conference paper
Multidisciplinary Social Networks Research (MISNC 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 473))

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  • International Conference, MISNC

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Abstract

Automated scoring technology aims to reduce the workload of homework or examinations and to ensure the fairness. Therefore, to study automated scoring technology and its implementation process has great practical meaning. A method of automated assessment of subjective tests based on domain ontology and corpus is proposed to solve the existence problems of automated scoring systems. The conception of domain ontology is introduced and a software engineering domain is built constructed. Some key technologies includes Chinese word segmentation, the TF-IDF algorithm which is utilized to calculate the importance of each keyword in texts and text similarity calculation are described in detail. The method mentioned in the paper has been applied in the automated assessment of short-answer questions of software engineering. Comparison between the results made by the automatic scoring system and the teachers proves reasonableness of the model.

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Author information

Authors and Affiliations

  1. The School of Mathematics and Computer Science, Fuqing Branch of Fujian Normal University, China

    Lu-Xiong Xu, Na Wang & Li-Yao Li

  2. The Institute of Innovative Information Industry, Fuqing Branch of Fujian Normal University, China

    Lu-Xiong Xu, Lin Xu & Li-Yao Li

  3. The School of Ecomomic, Fujian Normal University, China

    Lin Xu

Authors
  1. Lu-Xiong Xu
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  2. Na Wang
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  3. Lin Xu
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  4. Li-Yao Li
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Editor information

Editors and Affiliations

  1. National University of Kaohsiung, Taiwan

    Leon Shyue-Liang Wang

  2. Chung-Ang University, Seoul, Korea

    Jason J. June

  3. Dept of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

    Chung-Hong Lee

  4. Osaka University, Japan

    Koji Okuhara

  5. National University of Kaohsiung, Dept of Information Management, Kaohsiung, Taiwan

    Hsin-Chang Yang

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© 2014 Springer-Verlag Berlin Heidelberg

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Xu, LX., Wang, N., Xu, L., Li, LY. (2014). Research of Automated Assessment of Subjective Tests Based on Domain Ontology. In: Wang, L.SL., June, J.J., Lee, CH., Okuhara, K., Yang, HC. (eds) Multidisciplinary Social Networks Research. MISNC 2014. Communications in Computer and Information Science, vol 473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45071-0_37

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  • DOI: https://doi.org/10.1007/978-3-662-45071-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45070-3

  • Online ISBN: 978-3-662-45071-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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