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Implementation of an efficient web crawler to search medicinal plants and relevant diseases

机译:实施高效的Web履带以搜索药用植物和相关疾病

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In Indian Ayurvedic system, medicinal plant is the important factor for different therapeutic uses. The medicinal plants are distributed over India. Hence collection of correct information of medicinal plants is needed for various researches. The huge amount of information related to medicinal plants domain is available on the Internet. Focused web crawler is useful for collecting such close domain information from the internet. In focused web crawler, to extract the relevant web page classification method is used. The classification algorithm classifies the web pages as relevant or not for a given query. In this paper, proposed method of an efficient focused web crawler is used to search the web pages for a medicinal plant domain. Naive Bayes classifier is used for classification of web pages. The proposed focused web crawler uses a manual thesaurus of medicinal plant information for query expansion.
机译:在印度阿育吠陀系统中,药用植物是不同治疗用途的重要因素。药用植物分布在印度。因此,需要收集药用植物的正确信息以获得各种研究。互联网上有与药用植物域有关的大量信息。聚焦的Web爬网公司可用于从互联网收集此类关闭域信息。在聚焦的Web爬网程序中,要提取使用相关的网页分类方法。分类算法将网页分类为相关的网页或不适用于给定查询。在本文中,使用高效聚焦的Web履带的方法用于搜索药用植物结构域的网页。朴素的贝叶斯分类器用于网页的分类。建议的聚焦Web爬网公司使用用于查询扩展的药用植物信息的手动词库。

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