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Method for modelling adaptive learning of agricultural ontology

A technology of self-adaptive learning and domain ontology, applied in the field of agricultural domain ontology self-adaptive learning and modeling, it can solve the problem of time-consuming and laborious manual methods, and achieve the effect of improving efficiency, realizing shared and collaborative services, and improving the quality of agricultural domain ontology.

Inactive Publication Date: 2011-11-02
ANHUI AGRICULTURAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, these tools only provide ontology editing functions, and still support the way of manually constructing ontology. Due to the time-consuming and labor-intensive manual method, the construction of ontology becomes a difficult task.

Method used

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  • Method for modelling adaptive learning of agricultural ontology
  • Method for modelling adaptive learning of agricultural ontology
  • Method for modelling adaptive learning of agricultural ontology

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Embodiment Construction

[0022] The following examples are used to illustrate the present invention, but not to limit the scope of the present invention.

[0023] Construct a decision-making system based on multi-agent ontology learning self-adaptive adjustment, according to changes in relevant data sources, ontology service requirements, and evaluation of established ontology, continuously improve the ontology learning rule base to adapt to changes in the external environment , to better construct the ontology.

[0024] 1. Overall structure

[0025] Multi-Agent system is widely used in various fields because of its cooperative ability, high efficiency and robustness. The invention integrates the self-adaptive extraction module of concepts in the agricultural field and the self-adaptive extraction module of inter-concept relations into a multi-agent system model. The main frame of the model is as figure 1 As shown, it mainly includes six parts: man-machine interface, preprocessing Agent, concept ex...

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Abstract

The invention relates to a method for modelling adaptive learning of an agricultural ontology by optimizing an ontology learning rule according to changes of agricultural knowledge. On the basis of existing research results, aiming at the adaptive learning problem of the agricultural ontology, the invention provides the method for modelling the adaptive learning of the agricultural ontology, mainly comprising the following steps that: 1, adaptive extraction of agricultural conceptions; 2, adaptive extraction of relationships between the agricultural conceptions; 3, integration of adaptive learning models of the agricultural ontology based on multi-Agent, and the like. According to the method disclosed by the invention, the efficiency for automatically constructing the agricultural ontology can be effectively increased; the quality of the constructed agricultural ontology is improved; and the method has a certain theoretical research value and practical significance for constructing the agricultural ontology on a large scale, further establishing an agricultural semantic network and a knowledge grid, and realizing sufficient share and cooperative service of the agricultural knowledge.

Description

technical field [0001] The invention relates to the fields of agricultural semantic network and knowledge grid, and discloses an adaptive learning modeling method for agricultural field ontology by optimizing ontology learning rules according to changes in agricultural field knowledge. Background technique [0002] With the proposal and development of the Semantic Web, supporting the exchange, sharing and reuse of data, information and knowledge has become one of the urgent tasks for today's information systems. The construction of ontology makes it possible to share and reuse domain knowledge, which is a group of concepts or terms used to describe or express a certain domain knowledge or a wider range. At present, the definition of ontology accepted by most people is "ontology is a clear and formal specification of shared conceptualization" proposed by Gruber. Based on the scale of a specific application field or the level of abstraction of a pilot project, ontology can be...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 李绍稳刘超张友华徐济成辜丽川林潇叶琼刘金花
Owner ANHUI AGRICULTURAL UNIVERSITY
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