Please wait a minute...
New Technology of Library and Information Service  2005, Vol. 21 Issue (5): 41-45    DOI: 10.11925/infotech.1003-3513.2005.05.10
Current Issue | Archive | Adv Search |
The Algorithm of Forecasting URL-Topic Based on Web Structure  and Web Page Contents
Liu Hong   Shao Xiaoliang   Hu Jibing
(The Network Information Center of  Second Military Medical University, Shanghai  200433, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper introduces primarily a core Algorithm of Web topic information gathering system that we designed——the Forecast URL-Topic Algorithm. It bases on the related theories, analyzes the experiment data and discovers the topic of the hyperlink be decided by three factors primarily: the topic Similarity of the parent Web page, the topic Similarity of the (ex-)anchor text and the structure characteristic of Web graph, then puts forward the algorithm of Forecasting URL-Topic based on Web structure and Web page contents, the system evaluation result shows that the algorithm has great efficiency.

Key wordsWeb structure      Hyperlink      Topic      Forecast      Algorithm     
Received: 31 December 2004      Published: 25 May 2005
: 

TP391

 
Corresponding Authors: Liu Hong     E-mail: llhhyybb@163.com
About author:: Liu Hong,Shao Xiaoliang,Hu Jibing

Cite this article:

Liu Hong,Shao Xiaoliang,Hu Jibing. The Algorithm of Forecasting URL-Topic Based on Web Structure  and Web Page Contents. New Technology of Library and Information Service, 2005, 21(5): 41-45.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2005.05.10     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2005/V21/I5/41

1Jon M. KleinbergAuthoritative Sources in a Hyperlinked EnvironmentTarjan RE, Baecker T, eds. Proceedings of the 9th ACM-SIAM Symposium on Discrete Algorithms. New Orleans: ACM Press, 1997:668-677
2Andrei Broder, Ravi Kumar, Farzin Maghoul etcGraph structure in the Web: Experiments and models.9th World Wide Web Conference, 2000
3Charu C. Aggarwal, Fatima Al-Garawi and Philip S. YuIntelligent Crawling on the World Wide Web with Arbitrary Predicates".WWW10, May 2-5, 2001, Hong Kong ACM 1-58113-348-0/01/0005
4Andrei Broder, Ravi Kumar, Farzin Maghoul etcGraph structure in the Web: Experiments and models. In 9th World Wide Web Conference, 2000
5Golub GH, Van Loan CFMatrix Computations, London, Johns Hopkins University Press, 1989:40-45
6Jon Kleinberg and Steve LawrenceThe Structure of the WebS C I E N C E'S COMPA S S, www.sciencemag.org, SCIENCE VOL 294 30 NOVEMBER 2001
7李培,赵麟网上证券金融信息采集系统的研究现代图书情报技术2001(6):56-59
8李勇,桑艳艳网络文本数据分类技术与实现算法情报学报,2002(1):21-26
9李盛韬,余智华,程学旗,白硕Web信息采集研究进展计算机科学,2003(2):151-157,171
10王晓宇,周傲英万维网的链接结构分析及其应用综述软件学报,2003,14(10):1768-1780
11刘红利用扩展锚点文本来分类网页计算机应用研究,2004,21(3):112-113,124
12刘红在军训网中构建基于Web的主题信息采集系统硕士毕业论文,2004(7)

[1] Chen Donghua,Zhao Hongmei,Shang Xiaopu,Zhang Runtong. Optimizing Large Hospital Operating Rooms with Data Analytics[J]. 数据分析与知识发现, 2021, 5(9): 115-128.
[2] Su Qiang, Hou Xiaoli, Zou Ni. Predicting Surgical Infections Based on Machine Learning[J]. 数据分析与知识发现, 2021, 5(8): 65-75.
[3] Dong Zhenheng,Lv Xueqiang,Ren Weiping,Jiang Yang,Li Guolin. Review of Key Technologies of High Performance Blockchain[J]. 数据分析与知识发现, 2021, 5(6): 14-24.
[4] Ma Yingxue,Zhao Jichang. Patterns and Evolution of Public Opinion on Weibo During Natural Disasters: Case Study of Typhoons and Rainstorms[J]. 数据分析与知识发现, 2021, 5(6): 66-79.
[5] Dong Mei,Chang Zhijun,Zhang Runjie. A Multiple Pattern Matching Algorithm for Specifications of Incremental Metadata for Sci-Tech Literature[J]. 数据分析与知识发现, 2021, 5(6): 135-144.
[6] Wu Xu,Chen Chunxu. Detecting Topics of Group Chats with Multiple Strategies[J]. 数据分析与知识发现, 2021, 5(5): 1-9.
[7] Song Ruoxuan,Qian Li,Du Yu. Identifying Academic Creative Concept Topics Based on Future Work of Scientific Papers[J]. 数据分析与知识发现, 2021, 5(5): 10-20.
[8] Lu Linong,Zhu Zhongming,Zhang Wangqiang,Wang Xiaochun. Cross-database Knowledge Integration and Fingerprint of Institutional Repositories with Lingo3G Clustering Algorithm[J]. 数据分析与知识发现, 2021, 5(5): 127-132.
[9] Ma Yingxue,Gan Mingxin,Xiao Kejun. A Matrix Factorization Recommendation Method with Tags and Contents[J]. 数据分析与知识发现, 2021, 5(5): 71-82.
[10] Yi Huifang,Liu Xiwen. Analyzing Patent Technology Topics with IPC Context-Enhanced Context-LDA Model[J]. 数据分析与知识发现, 2021, 5(4): 25-36.
[11] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[12] Wang Nan,Li Hairong,Tan Shuru. Predicting of Public Opinion Reversal with Improved SMOTE Algorithm and Ensemble Learning[J]. 数据分析与知识发现, 2021, 5(4): 37-48.
[13] Zhang Xin,Wen Yi,Xu Haiyun. A Prediction Model with Network Representation Learning and Topic Model for Author Collaboration[J]. 数据分析与知识发现, 2021, 5(3): 88-100.
[14] Wang Hongbin,Wang Jianxiong,Zhang Yafei,Yang Heng. Topic Recognition of News Reports with Imbalanced Contents[J]. 数据分析与知识发现, 2021, 5(3): 109-120.
[15] Shen Si,Li Qinyu,Ye Yuan,Sun Hao,Ye Wenhao. Topic Mining and Evolution Analysis of Medical Sci-Tech Reports with TWE Model[J]. 数据分析与知识发现, 2021, 5(3): 35-44.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn