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首页> 外文会议>IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011 >A SVM-Based Text Classification System for Knowledge Organization Method of Crop Cultivation
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A SVM-Based Text Classification System for Knowledge Organization Method of Crop Cultivation

机译：基于SVM的作物栽培知识组织方法文本分类系统。

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摘要

The organization of crop cultivation practices is still far from completion, and Web Resources are not used adequately. This paper proposed a method, based on SVM, to organize the knowledge of crop cultivation practices efficiently from Web Resources. The knowledge organization method of crop cultivation was proposed with Good Agricultural Practices (GAP) in the application of the crop cultivation practices. It is that how to organize the existing crop cultivation knowledge, according to the requirements of crop cultivation practices. It mainly includes a text classification method and a search strategy on the knowledge of crop cultivation. For the text classification method, it used a text classification method based on SVM Decision Tree; for the search strategy, it used a strategy, organized by Ontology and custom knowledge bases. The experiment shows that performance of the proposed text classification method and the knowledge organization method with wheat, is workable and feasible.
机译：作物种植实践的组织还远远没有完成，并且Web资源没有得到充分利用。本文提出了一种基于支持向量机的方法，可以从Web资源有效地组织有关作物栽培实践的知识。结合良好农业规范（GAP），提出了作物栽培的知识组织方法。是根据作物栽培实践的要求，如何组织现有的作物栽培知识。它主要包括文本分类方法和关于作物栽培知识的搜索策略。对于文本分类方法，它使用了基于SVM决策树的文本分类方法。对于搜索策略，它使用了由本体论和自定义知识库组织的策略。实验表明，所提出的文本分类方法和知识组织方法在小麦中的应用是可行和可行的。

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