Dependency relationship-based teaching domain ontology automatic generation method and apparatus

A technology of automatic generation of dependencies, applied in natural language data processing, special data processing applications, instruments, etc., can solve problems such as the influence of the physical position of template feature words, low accuracy of relationship extraction, and inability to extract classification relationships, etc.

Active Publication Date: 2018-09-04
梁山时代天利教育科技有限公司
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AI Technical Summary

Problems solved by technology

Among them, the sentence template method uses pre-designed templates or patterns to classify sentences and extract relational information, so the accuracy is high, but limited by the size of the template, its adaptability and versatility are poor; while the machine learning method , through the method of statistical or semantic analysis to classify sentences and extract relational information, it does not need to design templates in advance, so it has strong adaptability but low precision
Traditional sentence templates and association rules methods generally use keywords or phrases as features, such as the method of "Analysis and Knowledge Extraction of Primary School Application Questions and Sentences Based on Conceptual Hierarchical Networks" proposed by Pan Li and Feng Su. The disadvantage is that the template is easily affected by the physical location of the characteristic words,

Method used

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  • Dependency relationship-based teaching domain ontology automatic generation method and apparatus
  • Dependency relationship-based teaching domain ontology automatic generation method and apparatus
  • Dependency relationship-based teaching domain ontology automatic generation method and apparatus

Examples

Experimental program
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Embodiment 1

[0149] The flow of a method for automatically generating teaching domain ontology based on dependency relationship, such as figure 1 As shown, firstly, the domain terminology is extracted and automatically generated from the teaching materials through TF_IDF weights, and the terms in the domain terminology are converted into concepts in the teaching domain ontology, and an initial teaching domain ontology with only a single-layer structure is generated, and then a dependency-based The structure and design principles of sentence templates for describing ontology relations, and according to the characteristics of relationships in various teaching fields, define sentence templates that describe ontology relations based on dependency relations, form a sentence template library that describes ontology relations, and finally follow the steps below to develop ontology The extraction of relational information and the automatic generation of domain ontology relations include the followi...

Embodiment 2

[0155] An example of automatic generation of domain terminology in a method of automatic generation of teaching domain ontology based on dependency relationship. Because some domain terms that are not included in the general language dictionary usually appear in teaching materials, for example, in computer textbooks, "computer network" is an inseparable domain term, and the general language dictionary usually divides it into "computer" and "computer". Therefore, if only relying on the general language dictionary for word segmentation, the sentences in the textbooks will often be wrongly segmented. For this reason, the present invention proposes a method for automatically generating a domain term list based on TF_IDF weights to collect domain terms in teaching materials that are not included in the general language dictionary, and provide correct word segmentation for teaching material sentences and correct division of domain concepts. in accordance with.

[0156] The steps ar...

Embodiment 3

[0169] In a dependency-based automatic ontology generation method for teaching domains, examples of common sentence templates describing ontology relationships:

[0170] Template 1. The parent class is the subject and the subclass is the sentence template rule describing the classification relationship,

[0171]

[0172] Wherein, String1={"divided into", "has", "composed of", ..., "includes"} represents the verb collection of classification relationship features in template 1, Represents the concept n in the ontology 2 Concept n 1 It implies that by calculating the similarity between the sentence center word and the predicate in the template feature verb set String1, it is determined whether the sentence is a sentence describing the classification relationship, so that the template has stronger versatility. They are exactly the same. In order to distinguish the two, it is further determined in the template rule whether the similarity between the subject and the object is...

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Abstract

The invention discloses a dependency relationship-based teaching domain ontology automatic generation method. The method comprises the steps of firstly extracting and automatically generating a domainterm list from teaching materials through TF_IDF weights, and converting domain terms in the domain term list into concepts in a teaching domain ontology, thereby generating an initial teaching domain ontology only with a single-layer structure; secondly according to characteristics of various teaching domain relationships, defining dependency relationship-based sentence templates for describingan ontology relationship, thereby forming a sentence template library for describing the ontology relationship; and finally performing template matching, ontology relationship information extraction and ontology relationship automatic generation according to the steps. Apparatuses involved in the method include the domain term list, the sentence template library, a sentence preprocessing module, atemplate inference engine and an ontology relationship generator. The method has the advantages that the templates are not influenced by physical positions of sentence structures; the expandability is high; the teaching domain ontology automatic generation accuracy is high; and the method can be widely applied to automatic construction of the teaching domain ontology in an intelligent teaching system of all disciplines.

Description

technical field [0001] The present invention relates to natural language processing, knowledge management and information extraction in the field of artificial intelligence, and specifically to a method and device for automatically generating ontology in the teaching field based on dependency relationships. The method and device use computers as tools and textbook text corpus as processing objects. Realize the automatic generation of teaching domain ontology, which can be widely used in the automatic construction of teaching domain ontology in teaching expert system, teaching question answering system and intelligent teaching system of various disciplines. Background technique [0002] Ontology originated from philosophy. It is a standardized and formalized description of objectively existing things. With the development of information technology, ontology was introduced into the information field in the 1980s, which led to the emergence of Semantic Web. Ontology has the c...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06Q50/20
CPCG06Q50/20G06F40/247G06F40/253G06F40/30
Inventor 朱新华郭青松张兰芳
Owner 梁山时代天利教育科技有限公司
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