Research of automated assessment of subjective tests based on domain ontology

被引：0

作者：

机构：

[1] The School of Mathematics and Computer Science, Fuqing Branch of Fujian Normal University

[2] The Institute of Innovative Information Industry, Fuqing Branch of Fujian Normal University

[3] The School of Ecomomic, Fujian Normal University

来源：

Xu, Lin | 1600年 / Springer Verlag卷 / 473期

关键词：

Automated Assessment; Chinese Word Segmentation; Domain Ontology; Semantic similarity calculation;

D O I：

10.1007/978-3-662-45071-0_37

中图分类号：

学科分类号：

摘要：

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. © Springer-Verlag Berlin Heidelberg 2014.

引用

页码：445 / 453

页数：8

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