Please wait a minute...
New Technology of Library and Information Service  2000, Vol. 16 Issue (3): 40-43    DOI: 10.11925/infotech.1003-3513.2000.03.12
article Current Issue | Archive | Adv Search |
The Forthcoming Web Search
Zhang Ying   He Yafeng
(Zhongshan University Library, Guangzhou)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

This article analyzes some emerging web search models on general basis, introduces parts of new ideas from qualified specialists concerned and gives some descriptions and predictions about the future of web search.

Key wordsWeb search      Search engine      Web technique      Web standard      Web browser      Intelligence     
Received: 12 October 1999      Published: 25 June 2000
Corresponding Authors: Zhang Ying,He Yafeng   
About author:: Zhang Ying,He Yafeng

Cite this article:

Zhang Ying,He Yafeng. The Forthcoming Web Search. New Technology of Library and Information Service, 2000, 16(3): 40-43.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2000.03.12     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2000/V16/I3/40

1 张智雄.Metabata:组织和发现Internet信息资源的数据1现代图书情报技术,1999,(1):21-25
2 Sheman,Chris.The future of Web search.Online,1999,(Mar/Apr):75-78
3 Rachel,Lynn Webham,Metadata and the Dublin Core.Library Mosaics,1998,(Sep/Oct):23
4 Larry Buchanan.Internet Search Engine add filters!But do they work?MULTIMEDIA SCHOOLS,1999,(May/Jun)
5 http://www.w3.org/

[1] 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.
[2] Lv Xueqiang,Luo Yixiong,Li Jiaquan,You Xindong. Review of Studies on Detecting Chinese Patent Infringements[J]. 数据分析与知识发现, 2021, 5(3): 60-68.
[3] Lianjie Xiao,Tao Meng,Wei Wang,Zhixiang Wu. Entity Recognition of Intelligence Method Based on Deep Learning: Taking Area of Security Intelligence for Example[J]. 数据分析与知识发现, 2019, 3(10): 20-28.
[4] Sun Lin,Wang Yanzhang. Identifying Competitive Intelligence Based on Knowledge Element[J]. 数据分析与知识发现, 2018, 2(6): 25-36.
[5] Lu Wei,Luo Mengqi,Ding Heng,Li Xin. Image Annotation Tags by Deep Learning and Real Users: A Comparative Study[J]. 数据分析与知识发现, 2018, 2(5): 1-10.
[6] Wang Shuyi,Liao Huatao,Wu Chake. Mining News on Competitors with Sentiment Classification[J]. 数据分析与知识发现, 2018, 2(3): 70-78.
[7] Li Yongnan. Using Bayes Theory to Classify Counter Terrorism Intelligence[J]. 数据分析与知识发现, 2018, 2(10): 9-14.
[8] Li Baozhen,Wang Ya,Zhou Ke. Measuring Credibility of Social Media Contents Based on Bayesian Theory[J]. 数据分析与知识发现, 2017, 1(6): 83-92.
[9] Xie Xiufang,Zhang Xiaolin. Integrated Analysis and Visualization of Sci-Tech Roadmaps: Case Study of Renewable Energy[J]. 数据分析与知识发现, 2017, 1(1): 16-25.
[10] Liu Tong,Ni Weijian,Liu Mei. Identifying Terminology from Search Engine Query Logs[J]. 现代图书情报技术, 2016, 32(2): 25-33.
[11] Zhao Dongxiao,Wang Xiaoyue,Bai Rujiang,Liu Ziqiang. Semantic Text Mining Methodologies for Intelligence Analysis[J]. 现代图书情报技术, 2016, 32(10): 13-24.
[12] Tong Guoping, Sun Jianjun. User Behavior Analysis Based on Search Engine Log[J]. 现代图书情报技术, 2015, 31(7-8): 80-88.
[13] Wang Xiwei, Zhao Dan, Yang Mengqing, Wei Junwei. Indices and Empirical Research on Search Engine Optimization of the Industry Websites: An Analysis from the Perspective of Information Ecology[J]. 现代图书情报技术, 2015, 31(3): 75-83.
[14] Chen Yong, Li Honglian, Lv Xueqiang. Analysis for the Search Behavior of Web Users[J]. 现代图书情报技术, 2014, 30(12): 10-17.
[15] Qian Li, Zhang Xiaolin, Li Chunwang, Wang Xiaomei, Yang Liying, Chen Ting, Zhang Zhixiong. Research and Application of Science Intelligence Analysis Integrated Services Architecture Using OSGi[J]. 现代图书情报技术, 2014, 30(12): 62-70.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn