Web page downloading and classification

被引：1

作者：

Tran, LQ ^{[1
]}

Moon, CW ^{[1
]}

Le, DX ^{[1
]}

Thoma, GR ^{[1
]}

机构：

[1] Natl Lib Med, Bethesda, MD 20894 USA

来源：

FOURTEENTH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/CBMS.2001.941739

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the processes of downloading and classifying Web-based articles in Online medical journals as a preliminary, step to extracting bibliographic data to populate MEDLINE (R), the widely used database of the National Library, of Medicine (NLM). The processes are combined to develop an automated system named " Web Page Downloading and Classification ". The system downloads the Web pages using Microsoft's Windows Internet API tool called WinInet, and a combination of several Artificial Intelligence (AI) techniques including the Breadth-First search algorithm and the Constraint Satisfaction method. The Breadth-First search algorithm and the Constraint Satisfaction method are then used to traverse the Web page's links, identify these pages as abstract, full text, PDF or image files, recognize and generate the successors of the downloading pages.

引用

页码：321 / 326

页数：6