High-accuracy computer automatic marking method for subjective items based on domain ontology

A technology of domain ontology and subjective questions, applied in the field of high-accuracy computer automatic scoring of subjective questions based on domain ontology, can solve problems such as unsatisfactory results, and achieve the effect of ensuring accuracy

Active Publication Date: 2015-04-08
南京乐酷网络科技有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

In order to improve the accuracy of marking, there are currently a small number of au

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  • High-accuracy computer automatic marking method for subjective items based on domain ontology
  • High-accuracy computer automatic marking method for subjective items based on domain ontology
  • High-accuracy computer automatic marking method for subjective items based on domain ontology

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Embodiment Construction

[0090] The present invention will be described in more detail below in conjunction with the accompanying drawings.

[0091] 1. Domain ontology structure

[0092] The present invention formalizes the domain ontology applied to the automatic marking of subjective questions into a five-tuple:

[0093] O={C,A,R,I,SY}

[0094] Taking "Basic Computer Knowledge" subject domain ontology as an example, the definitions and functions of various elements of the domain ontology designed by the present invention and applied to automatic marking of subjective questions will be explained below.

[0095] 1) C represents the collection of all concepts related to a certain field, which defines the subject range of subjective questions. For example:

[0096] C={computer, hardware, arithmetic unit, controller, central processing unit, host, memory, main memory, external storage

[0097] hard drive, U disk, input / output device, keyboard, printer, monitor, software, program, document, data,

[...

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Abstract

The invention discloses a high-accuracy computer automatic marking method for subjective items based on domain ontology. The method comprises the following steps: firstly, building a domain ontology structure suitable for automatically marking the subjective items, and explaining a domain relation into a sentence in a natural language for describing a domain event; secondly, building a subjective item bank structure based on the domain ontology and item description logic, requesting the items to accord with the subjective item bank structure, and then marking answer sheets of examinees according to the following steps: (1) obtaining single words and part-of-speech tagging in the answer sheet of each examinee; (2) tagging an ontology element; (3) generating an answer sheet semanteme based on the domain relation; (4) calculating based on the similarity of the answer of the domain relation and the answer sheet semanteme; (5) calculating the score of the answer sheet of the subjective items of each examinee. According to the method, the semanteme analyzing and processing flows of the natural language in each examinee answer sheet are greatly simplified; the semanteme of answer domain knowledge is relatively fully expressed; the accuracy for automatically marking the subjective items is ensured.

Description

technical field [0001] The present invention relates to the automation of examination paper marking in the field of educational technology, specifically an automatic marking scheme for subjective questions based on domain ontology, and more specifically a high-accuracy subjective computer automatic marking scheme for subjective questions based on the semantic similarity between domain ontology and domain relations. The scheme uses the computer as a tool, and takes the examinee's answer sheet input by the keyboard as the processing object to help teachers realize the automatic marking of subjective questions with high accuracy. It can be widely used in computer automatic marking systems for subjective questions in various disciplines. Background technique [0002] Most of the various examinations in recent years adopt the method of candidates filling in the answer sheets. After careful consideration, we will find that for objective questions such as single-choice questions, mu...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/3344G06F16/367G06F40/211G06Q50/20
Inventor 朱新华李飞陈宏朝袁鼎荣邓涵
Owner 南京乐酷网络科技有限公司
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