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Ontology learning method, system and device based on topic model and medium

A topic model and learning method technology, which is applied in the fields of instruments, computing, and electrical digital data processing, can solve problems such as high labor costs, consumption, and domain experts cannot quickly capture, and achieve the effect of improving semantic consistency

Active Publication Date: 2021-08-27
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The ontology constructed in this way has high accuracy, but also has some disadvantages
For example, it will consume too high labor costs; the constructed ontology will have the preferences of domain experts; for the rise of emerging terms, domain experts cannot quickly capture and so on.

Method used

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  • Ontology learning method, system and device based on topic model and medium
  • Ontology learning method, system and device based on topic model and medium
  • Ontology learning method, system and device based on topic model and medium

Examples

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Embodiment Construction

[0058]Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0059] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc. indicated orientations or positional relationships are based ...

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PUM

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Abstract

The invention discloses an ontology learning method, system and device based on a topic model and a medium, and the method comprises the following steps: obtaining a document data set, and carrying out the preprocessing of the document data set; extracting a seed term set of a core concept from the preprocessed document data set; according to the seed term set and the preprocessed document data set, training a topic model in a semi-supervised mode; obtaining a topic vocabulary matrix from the trained topic model, obtaining a plurality of term clusters according to the topic vocabulary matrix, each term cluster corresponding to one core concept, and finishing automatic learning of the ontology. The topic model is applied to the ontology learning field, the concept of the field is learned through the topic model, the semantic consistency of terms in the concept is improved, and the invention can be widely applied to the fields of machine learning and linguistics.

Description

technical field [0001] The present invention relates to the fields of machine learning and linguistics, in particular to a subject model-based ontology learning method, system, device and medium. Background technique [0002] In the computer field, an ontology is defined as a tool for expressing domain knowledge. It was first proposed in the field of knowledge engineering to model the real world and help artificial intelligence systems to reason. A domain's ontology defines the concepts of a domain, the relationships between concepts, and (optionally) axioms that constrain the relationships. Each concept is formed by all the semantic terms it contains, and the relationship between concepts is divided into hierarchical relationship and non-hierarchical relationship. It is usually represented as a directed graph, each node is a concept, and directed edges represent the relationship between concepts. [0003] The ontology of the domain is usually constructed by a group of ex...

Claims

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Application Information

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IPC IPC(8): G06F40/289G06F40/232
CPCG06F40/289G06F40/232
Inventor 钟竞辉黄豪
Owner SOUTH CHINA UNIV OF TECH
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