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Citrus knowledge modeling and large scale ontology generation method based on agriculture eight-word policy

A eight-character policy and knowledge modeling technology, applied in the fields of agriculture and information, can solve problems such as high knowledge complexity, lack of modeling framework and methods, and inability to support efficient development, and achieve the effect of low complexity and small ontology scale.

Inactive Publication Date: 2017-09-05
SOUTHWEST UNIVERSITY
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Problems solved by technology

Due to the high complexity of knowledge in the agricultural field, the wide knowledge involved and the cross coverage of various knowledge, there is a lack of systematic modeling frameworks and methods when modeling and generating effective ontology in the agricultural field, which cannot support ontology developers to collaborate and efficiently Ontology

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  • Citrus knowledge modeling and large scale ontology generation method based on agriculture eight-word policy
  • Citrus knowledge modeling and large scale ontology generation method based on agriculture eight-word policy
  • Citrus knowledge modeling and large scale ontology generation method based on agriculture eight-word policy

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Embodiment Construction

[0023] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings; it should be understood that the preferred embodiments are only for illustrating the present invention, rather than limiting the protection scope of the present invention.

[0024] (1) first as figure 1 As shown, the knowledge of citrus planting is classified based on the "Agricultural Eight-Character Policy". Moisture), Citrus Variety (citrus varieties), Citrus Density (citrus planting density), Citrus Protection (citrus protection), Citrus Management (citrus management), and CitrusTool (citrus tools). The classification based on the agricultural eight-character policy cleverly solved the problem of classification of citrus planting domain knowledge, and laid the foundation for the citrus domain ontology. Specifically:

[0025] (a) According to the word "soil" in the "Agricultural Eight-Character Policy", extract and classify the basic k...

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Abstract

The invention discloses a citrus knowledge modeling and large scale ontology generation method based on an agriculture eight-word policy. The method comprises the following steps: S1, based on the agriculture eight-word policy, knowledge in the citrus planting field is classified, wherein each word is corresponding to one type, and eight types are formed; S2, as for each type, concepts contained in the type are recognized, and the relationship among the concepts is built; S3, the eight types are used to form a citrus planting knowledge framework KF with the relationship among the concepts, wherein KF=(T, S), T is a citrus planting knowledge type, and S is a semantic relational layer; S4, the citrus planting knowledge framework is converted to eight sub ontologies; and S5, the eight sub ontologies are merged to form a large scale ontology. According to the method of integrating the citrus planting field knowledge based on the agriculture eight-word policy, the difficult problems of agriculture field knowledge integration and ontology collaborative development can be solved, and a complete scheme is provided for building and managing the large scale agriculture ontology.

Description

technical field [0001] The invention belongs to the fields of agriculture and information, and relates to an agricultural intelligent decision-making information system, in particular to a citrus knowledge modeling and large-scale ontology generation method based on the agricultural eight-character policy. Background technique [0002] The existing knowledge ontology in the field of agriculture is mainly some vocabulary collections, for example: the AGROVOC vocabulary collection of the United Nations International Food and Agriculture Organization and the agricultural vocabulary collection of the US National Agricultural Library. AGROVOC currently contains 32,000 agricultural concepts and 6,192,003 RDF (Resource Description Framework) triples. Although the existing agricultural ontology vocabulary covers some concepts in the agricultural field, its semantics are not rich. It is only a collection of terms, lacking the relationship between specific concepts and more specific c...

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Application Information

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IPC IPC(8): G06N5/02G06N5/04G06Q50/02
CPCG06N5/025G06N5/046G06Q50/02
Inventor 王艺王英
Owner SOUTHWEST UNIVERSITY
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