Please wait a minute...
New Technology of Library and Information Service  2015, Vol. 31 Issue (3): 75-83    DOI: 10.11925/infotech.1003-3513.2015.03.10
Current Issue | Archive | Adv Search |
Indices and Empirical Research on Search Engine Optimization of the Industry Websites: An Analysis from the Perspective of Information Ecology
Wang Xiwei, Zhao Dan, Yang Mengqing, Wei Junwei
School of Management, Jilin University, Changchun 130025, China
Download: PDF(431 KB)   HTML  
Export: BibTeX | EndNote (RIS)      

[Objective] This paper aims at constructing the search engine optimization indices to guide the better construction of industry websites and enhance the core competitiveness. [Methods] Construct the ‘Eco - Search Engine Optimization' indices system from the perspective of information ecology and use the AHP to make an empirical analysis of 10 representative cloud storage sites at home and abroad. [Results] The empirical results show that technology maturity of hardware and software create favorable industry environment for the development of industry websites. The eco-construction of overseas search engine optimization is paid more attention than that of the domestic search engine optimization. [Limitations] Only chose cloud storage sites as the samples. The number of representative industry website is relatively few. [Conclusions] At the theoretical level this paper provids a new research perspective for the construction of industry website. At the practical application level it is also able to guide the industry sites to evaluate the efficiency of the optimization about search engine.

Key wordsIndustry Website      Search engine optimization      Information ecology      Cloud storage     
Received: 13 August 2014      Published: 16 April 2015
:  TP393  

Cite this article:

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. New Technology of Library and Information Service, 2015, 31(3): 75-83.

URL:     OR

[1] 互联网周刊: 2014年中国大数据厂商综合服务水平TOP100 [R/OL]. [2014-07-02]. archives/251580.html. (China Internet Weekly. The Top 100 Comprehensive Service Level of China Big Data Vendors in 2014 [R/OL]. [2014-07-02]. 251580.html.)
[2] Elsevier. SEO Scams Growing [J]. Computer Fraud & Security, 2009(10): 1-2.
[3] Sullivan D. Who Invented the Term "Search Engine Optimization"? [EB/OL]. [2014-12-27]. http://forums.sear­
[4] Bailyn E, Bailyn B. Outsmarting Google: SEO Secrets to Winning New Business [M]. Indiana USA: QuePublishing, 2011: 21-167.
[5] Kapoun J, Tillman H. Evaluating Web Sites: Criteria and Tools [EB/OL]. [2014-07-15]. https://olinuris.library.cornell. edu/ref/research/webeval.html.
[6] 张欢, 夏圆, 齐向楠. 基于Google排名影响因素的SEO策略分析[J]. 现代情报, 2011, 31(11): 70-74. (Zhang Huan, Xia Yuan, Qi Xiangnan. Optimizing Strategies for Search Engines Based on Google [J]. Journal of Modern Information, 2011, 31(11): 70-74.)
[7] Zikopoulos P C, Eaton C, deRoos D. Understanding Big Data [M]. USA: The McGraw-Hill Companies, 2012.
[8] Gu J, Zhang L. Data, DIKW, Big Data and Data Science [J]. Procedia Computer Science, 2014, 31: 814-821.
[9] De Wilde P. Small, Medium & Big Data [EB/OL]. [2014-07- 16]. and-big-data.
[10] O'Day V L. Information Ecologies [J]. The Serials Librarian, 2000, 38(1-2): 31.
[11] Nardi B A, O'Day V L. Information Ecologies: Using Technology with Heart [M]. MA: MIT Press, 1999.
[12] Nardi B A. Information Ecologies [J]. Reference & User Services Quarterly, 1998, 38 (1): 49.
[13] Nam Y, Lee Y O, Park H W. Can Web Ecology Provide a Clearer Understanding of People's Information Behavior During Election Campaigns [J]. Social Science Information, 2013, 52(1): 91-109.
[14] Davenport T H, Prusak L. Information Ecology: Mastering the Information and Knowledge Environment [M]. Oxford: Oxford University Press, 1997.
[15] 陈锡生,袁京蓉.企业信息资源生态系统中信息制度要素研究[J]. 技术经济, 2002(7): 21-22. (Chen Xisheng, Yuan Jingrong. Elements of the Information System in the Enterprise Information Resources Ecosystem [J]. Technology Economics, 2002(7): 21-22.)
[16] 王晰巍,叶乃溪, 崔凤玲, 等. 中外信息生态研究进展的比较分析[J]. 图书情报工作, 2013, 57(5): 142-148, 127. (Wang Xiwei, Ye Naixi, Cui Fengling, et al. Comparative Analysis on Research Development of Chinese and Foreign Information Ecology [J]. Library and Information Service, 2013, 57(5): 142-148, 127.)
[17] Dickinger A, Stangl B. Website Performance and Behavioral Consequences: A Formative Measurement Approach [J]. Journal of Business Research, 2013, 66(6): 771-777.
[18] González M, Palacios B. Quantitative Evaluation of Commercial Web Sites: An Empirical Study of Spanish Firms [J]. International Journal of Information Management, 2004, 24(4): 313-328.
[19] Yalcin N. What is Search Engine Optimization: SEO [J]. Procedia - Social and Behavioral Sciences, 2010(9): 487-493.
[20] 赵仪, 赵熊, 张成昱. 专业网站的评价指标分析[J]. 现代图书情报技术, 2002(4): 43-45. (Zhao Yi, Zhao Xiong, Zhang Chengyu. Analyzing of Evaluating Indicators for Specialized Website [J]. New Technology of Library and Information Service, 2002(4): 43-45.)
[21] 周鑫, 孙建红. SEO技术及其效果的实证分析——以谷歌搜索引擎为例[J]. 经营与管理, 2013(10): 105-108. (Zhou Xin, Sun Jianhong. An Empirical Analysis of SEO Technology and Its Effect [J]. Management and Administration, 2013(10): 105-108.)
[22] 百度. 百度搜索引擎优化指南2.0 [EB/OL]. [2014-07-01]. html. (Baidu. Baidu Search Engine Optimization Guide 2.0 [EB/OL]. [2014-07-01]. 31d650e52ea5518983f.html.)
[23] 刘江玲. 面向大数据的知识发现系统研究[J].情报科学, 2014, 32(3): 90-92, 101. (Liu Jiangling. Research on Knowledge Discovery System Faced in Big Data [J]. Information Science, 2014, 32(3): 90-92, 101.)
[24] 王新才, 丁家友. 大数据知识图谱: 概念、特征、应用与影响[J]. 情报科学, 2013, 31(9): 10-14, 136. (Wang Xincai, Ding Jiayou. Mapping Knowledge Domain of Big Data: Concept, Feature, Application and Impact [J]. Information Science, 2013, 31(9): 10-14, 136.)
[25] Chen C L P, Zhang C Y. Data-intensive Applications, Challenges, Techniques and Technologies: A Survey on Big Data [J]. Information Sciences, 2014, 275: 314-347.
[26] Avrachenkov K, Dudin A, Klimenok V, et al. Optimal Threshold Control by the Robots of Web Search Engines with Obsolescence of Documents [J]. Computer Networks, 2011, 55(8): 1880-1893.
[27] 丁佳. 基于大数据环境下的网络安全研究[J]. 网络安全技术与应用, 2014(4): 116-119. (Ding Jia. The Study of Network Security Based on Large Data Environment [J]. Network Security Technology & Application, 2014(4): 116-119.)
[28] 于长钺, 于秀山, 马睿涵. 基于网站集中的Web信息搜索速度优化研究[J]. 情报科学, 2012, 30(5): 717-719. (Yu Changyue, Yu Xiushan, Ma Ruihan. Research on the Speed Optimization of Web Information Search Based on Hub Sites [J]. Information Science, 2012, 30(5): 717-719.)
[29] 金培权, 郝行军, 岳丽华. 面向新型存储的大数据存储架构与核心算法综述[J]. 计算机工程与科学, 2013, 35(10): 12-25. (Jin Peiquan, Hao Xingjun, Yue Lihua. A Survey on Storage Architectures and Core Algorithms for Big Data Management on New Storages [J]. Computer Engineering & Science, 2013, 35(10): 12-25.)
[30] 吕清远. 大数据时代下的微信营销价值[J]. 现代经济信息, 2013(20): 279. (Lv Qingyuan. The Marketing Value of WeChat on Big Data Environment [J]. Modern Economic Information, 2013(10): 279.)
[31] White A. Search Engines: Left Side Quality versus Right Side Profits [J]. International Journal of Industrial Organization, 2013, 31(6): 690-701.
[32] 文必龙, 宗文栋. 海量并行处理系统的大数据读写接口优化研究[J]. 郑州轻工业学院学报: 自然科学版, 2012, 27(3): 28-30, 48. (Wen Bilong, Zong Wendong. Research on Interface Optimization for Reading and Writing Large Data of Massive Parallel Processing System [J]. Journal of Zhengzhou University of Light Industry: Natural Science, 2012, 27(3): 28-30, 48.)
[33] 李晨晖, 崔建明, 陈超泉. 大数据知识服务平台构建关键技术研究[J]. 情报资料工作, 2013(2): 29-34. (Li Chenhui, Cui Jianming, Chen Chaoquan. Studies in the Key Technology of the Big Data Knowledge Service Platform Construction [J]. Information and Documentation Services, 2013(2): 29-34.)
[34] Hayes B. Cloud Computing [J]. Communications of the ACM, 2008, 51(7): 9-11.
[35] Ngai E. Selection of Web Sites for Online Advertising Using the AHP [J]. Information & Management, 2003, 40(4): 233-242.
[36] Lin S H, Chu K P, Chiu C M. Automatic Sitemaps Generation: Exploring Website Structures Using Block Extraction and Hyperlink Analysis [J]. Expert Systems with Applications, 2011, 38(4): 3944-3958.
[37] Sooda A K, Enbodya R J, Bansal R. Dissecting SpyEye - Understanding the Design of Third Generation Botnets [J]. Computer Networks, 2013, 57(2): 436-450.
[38] 喻钧, 季靖, 李景涛, 等. 网站漏洞检测软件的设计与应用[J]. 信息安全与技术, 2013(8): 112-114. (Yu Jun, Ji Jing, Li Jingtao, et al. Design and Application of Site Loophole Detection Software [J]. Information Security and Technology, 2013(8): 112-114.)
[39] Salas M I P, Martins E. Security Testing Methodology for Vulnerabilities Detection of XSS in Web Services and WS-Security [J]. Electronic Notes in Theoretical Computer Science, 2014, 302: 133-154.

[1] Min Zhang,Meifen Luo,Rui Nie,Yan Zhang. Analyzing Continuance Intention of Health APP Users Based on Information Ecology[J]. 数据分析与知识发现, 2017, 1(4): 46-56.
[2] Geng Shengnan, Liu Chuanyi, Wu Xu. Research and Implementation of Cloud Computing Platform Oriented Online Storage System[J]. 现代图书情报技术, 2012, 28(6): 72-77.
[3] Song Xiaobao, Liu Chuanyi, Wu Xu. Technology and Implementation of Building Infrastructure as a Service as Modular[J]. 现代图书情报技术, 2012, 28(1): 73-79.
[4] Wang Yamin, Liu Xiaowei, Han Xueling. A Cloud Storage Model Based on P2P[J]. 现代图书情报技术, 2011, 27(7/8): 56-61.
[5] Gao JianXiu Wu Zhenxin Sun Shuo. Research on the Application of Cloud Storage in Digital Preservation[J]. 现代图书情报技术, 2010, 26(6): 1-6.
[6] Fu Zhenzhen,Lu Wei. The Search Engine Optimizing Strategy and Evaluation Based on Keywords[J]. 现代图书情报技术, 2009, 25(6): 61-65.
[7] Zhang Jun. Analytic Process and Reconstruction Method of Web Information Chain[J]. 现代图书情报技术, 2009, 3(3): 62-68.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938