Study of Active-learning-based Theme Crawling System

被引：0

作者：

Ren, Bin ^{[1
]}

Zheng, Guo Xun ^{[1
]}

Zhang, Su Li ^{[1
]}

机构：

[1] Changchun Inst Technol, Sch Software, Changchun 130012, Jilin, Peoples R China

来源：

ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4 | 2012年 / 220-223卷

关键词：

Theme Crawling; Active Learning; Relatedness Calculation; Ontology;

D O I：

10.4028/www.scientific.net/AMM.220-223.2852

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper aims to design the active-learning-based theme crawling system and to realize the capacity of active learning of theme crawling by the use of semantic functions of ontology. The most conspicuous feature of this crawling system is the introduction of iterative process of ontology-incremental active learning. With the above circulating iterative process, the system can capture large quantities of theme-related web pages and the relatedness of the obtained web pages and the capturing rate are obviously superior to the crawling system without the ontology.

引用

页码：2852 / 2856

页数：5

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