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A geospatial search engine for discovering multi-format geospatial data across the web

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International Journal of Digital Earth 2016年第1期9卷 47-62页

作者： Christopher Bone Alan Ager Ken Bunzel Lauren Tierney Department of Geography University of OregonEugeneORUSA USDA Forest Service Western Wildland Environmental Threat CenterPrinevilleORUSA Kingbird Software MoscowIDUSA

The volume of publically available geospatial data on the web is rapidly increasing due to advances in server-based technologies and the ease at which data can now be ***,challenges remain with connecting individuals searching for geospatial data with servers and websites where such data *** objective of this paper is to present a publically available Geospatial search engine(GSE)that utilizes a web crawler built on top of the Google search engine in order to search the web for geospatial *** crawler seeding mechanism combines search terms entered by users with predefined keywords that identify geospatial data services.A procedure runs daily to update map server layers and metadata,and to eliminate servers that go *** GSE supports Web Map Services,ArcGIS services,and websites that have geospatial data for *** applied the GSE to search for all available geospatial services under these formats and provide search results including the spatial distribution of all obtained *** enhancements to our GSE and to web crawler technology in general lie ahead,our work represents an important step toward realizing the potential of a publically accessible tool for discovering the global availability of geospatial data.

关键词： geospatial data web crawler search engine Web Map Service data access

Agricultural Market Name Geo-Locating System Based on an Administrative Ontology and Web search engine

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Journal of Integrative Agriculture 2012年第5期11卷 849-857页

作者： HU Yi-min SONG Liang-tu WEI Yuan-yuan HUANG He WANG Xue Institute of lntelligent Machines Chinese Academy of Sciences Hefei 230031 P.R.China School of Information Science and Teehnology University of Science and Technology of China Hefei 230026 P.R.China

The problem of associating the agricultural market names on web sites with their locations is essential for geographical analysis of the agricultural products. In this paper, an algorithm which employs the administrative ontology and the statistics from the search results were proposed. The experiments with 100 market names collected from web sites were conducted. The experimental results demonstrate that the algorithm proposed obtains satisfactory performance in resolving the problem above, thus the effectiveness of the method is verified.

关键词： agriculture markets geo-locating ontology search engine Pearson's chi-square test

Notifiable infectious disease surveillance with data collected by search engine

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Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第4期11卷 241-248页

作者： Xi-chuan ZHOU1,Hai-bin SHEN2 (1Department of Information Science and Electronic engineering,Zhejiang University,Hangzhou 310027,China) (2School of Electrical engineering,Zhejiang University,Hangzhou 310027,China) Department of Information Science and Electronic engineering Zhejiang University Hangzhou China School of Electrical engineering Zhejiang University Hangzhou China

Notifiable infectious diseases are a major public health concern in China,causing about five million illnesses and twelve thousand deaths every *** detection of disease activity,when followed by a rapid response,can reduce both social and medical impact of the *** aim to improve early detection by monitoring health-seeking behavior and disease-related news over the ***,we counted unique search queries submitted to the Baidu search engine in 2008 that contained disease-related search *** we counted the news articles aggregated by Baidu's robot programs that contained disease-related *** found that the search frequency data and the news count data both have distinct temporal association with disease *** adopted a linear model and used searches and news with 1–200-day lead time as explanatory variables to predict the number of infections and deaths attributable to four notifiable infectious diseases,i.e.,scarlet fever,dysentery,AIDS,and *** the search frequency data and news count data,our approach can quantitatively estimate up-to-date epidemic trends 10–40 days ahead of the release of Chinese Centers for Disease Control and Prevention(Chinese CDC)*** approach may provide an additional tool for notifiable infectious disease surveillance.

关键词： Notifiable infectious diseases Disease surveillance search engine

A Feedback-Based Web search engine

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Wuhan University Journal of Natural Sciences 2004年第5期9卷 561-568页

作者： ZHANG Wei-feng 1,2,3 , XU Bao-wen 2,3,4 , ZHOU Xiao-yu 2,3,4 1. Department of Computer Science and engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, China 2. Department of Computer Science and engineering, Southeast University, Nanjing 210096, Jiangsu, China 3. Jiangsu Institute of Software Quality, Nanjing 210096 Jiangsu, China 4. The State Key Laboratory of Software engineering, Wuhan University, Wuhan 430072, Hubei, China Department of Computer Science and engineering Nanjing University of Posts and Telecommunications Nanjing Jiangsu China Department of Computer Science and engineering Southeast University Najing Jiangsu China Jiangsu Institute of Software Quality Nanjing Jiangsu China The State Key Laboratory of Software engineering Wuhan University Wuhan Hubei China

Web search engines are very useful information service tools in the Internet. The current web search engines produce search results relating to the search terms and the actual information collected by them. Since the selections of the search results cannot affect the future ones, they may not cover most people’s interests. In this paper, feedback information produced by the user’s accessing lists will be represented by the rough set and can reconstruct the query string and influence the search results. And thus the search engines can provide self-adaptability. Key words WWW - search engine - query reconstruction - feedback CLC number TP 311. 135.4 Foundation item: Supported by the National Natural Science Fundation of China (60373066). National Grand Fundamental Research 973 Program of China (2002CB31200). Opening Foundation of State Key Laboratory of Software engineering in Wuhan University, Opening Foundation of Jiangsu Key Laboratory of Computer Information Processing Technology in Soochow UniversityBiography: ZHANG Wei-feng (1975-), male, Ph.D. research direction: artificial intelligence, search engine, data mining, network language.

关键词： WWW search engine query reconstruction feedback

A Cooperative Schema between Web Sever and search engine for Improving Freshness of Web Repository

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Wuhan University Journal of Natural Sciences 2006年第1期11卷 11-14页

作者： WEN Kun-mei LU Zheng-ding LI Yu-hua SUN Xiao-lin College of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074Hubei China

Because the web is huge and web pages are updated frequently, the index maintained by a search engine has to refresh web pages periodically. This is extremely resource consuming because the search engine needs to crawl the web and download web pages to refresh its index, Based on present technologies of web refreshing, we present a cooperative schema between web server and search engine for maintaining freshness of web repository. The web server provides metadata defined through XML standard to describe web sites. Before updating the web page the crawler visits the meta-data files. If the meta-data indicates that the page is not modified, then the crawler will not update it. So this schema can save bandwidth resource. A primitive model based on the schema is implemented. The cost and efficiency of the schema are analyzed.

关键词： search engine freshness cooperative schema

Using log mining to analyze user behavior on search engine

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Frontiers of Electrical and Electronic engineering in China 2012年第2期7卷 254-260页

作者： Ke XIE Huijia YU Rongwei CEN State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and TechnologyDepartment of Computer Science and TechnologyTsinghua UniversityBeijing 100084China

Users＇ behavior analysis has become one of the most important research topics, especially in terms of performance optimization, architecture analysis, and system maintenance, due to the rapid growth of search engine users. By adequately performing analysis on log data, researchers and Internet companies can get guidance to better search engines. In this paper, we perform our analysis based on approximately 750million entries of search requests obtained from log of a real commercial search engine. Several aspects of users＇ behavior are studied, including query length, ratio of query refining, recommendation access, and so on. Different information needs may lead to different behaviors, and we address this discussion in this paper. We firmly believe that these analyses would be helpful with respect of improving both effectiveness and efficiency of search engines.

关键词： user behavior analysis search engine webinformation retrieval

Scheduling in a Meta search engine by Genetic Algorithm

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Wuhan University Journal of Natural Sciences 2001年第Z1期6卷 541-546页

作者： Zhang Wei feng, Xu Bao wen, Zhou Xiao yu, Huang Hui Department of Computer Science and engineering, Southeast University, Nanjing 210096,China State Key Laboratory of Software engineering, Wuhan University, Wuhan 430072,China Department of Computer Science and engineering Southeast University Nanjing China State Key Laboratory of Software engineering Wuhan University Wuhan China

The meta search engines provide service to the users by dispensing the users' requests to the existing search engines. The existing search engines selected by meta search engine determine the searching quality. Because the performance of the existing search engines and the users' requests are changed dynamically, it is not favorable for the fixed search engines to optimize the holistic performance of the meta search engine. This paper applies the genetic algorithm (GA) to realize the scheduling strategy of agent manager in our meta search engine, GSE(general search engine), which can simulate the evolution process of living things more lively and more efficiently. By using GA, the combination of search engines can be optimized and hence the holistic performance of GSE can be improved dramatically.

关键词： WWW internet search engine meta search engine genetic algorithm agent

Research on the User Interest Modeling of Personalized search engine

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Wuhan University Journal of Natural Sciences 2007年第5期12卷 893-896页

作者： LI Zhengwei XIA Shixiong NIU Qiang XIA Zhanguo School of Computer Science and Technology China University of Mining and Technology Xuzhou 221008 Jiangsu China

At present, how to enable search engine to construct user personal interest model initially, master user＇s personalized information timely and provide personalized services accurately have become the hotspot in the research of search engine area. Aiming at the problems of user model＇s construction and combining techniques of manual customization modeling and automatic analytical modeling, a User Interest Model （UIM） is proposed in the paper. On the basis of it, the corresponding establishment and update algorithms of User lnterest Profile （UIP） are presented subsequently. Simulation tests proved that the UIM proposed and corresponding algorithms could enhance the retrieval precision effectively and have superior adaptability.

关键词： personalization search engine User Interest Model intellectual agent

Web search engine:characteristics of user behaviors and their implication

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Science in China(Series F) 2001年第5期44卷 351-365页

作者：王建勇单松巍雷鸣谢正茂李晓明 Networking and Distributed Computing Systems Laboratory Department of Computer Science and TechnologyPeking UniversityBeijing 100871China

In this paper, first studied are the distribution characteristics of user behaviors based on log data from a massive web search engine. Analysis shows that stochastic distribution of user queries accords with the characteristics of power-law function and exhibits strong similarity, and the user' s queries and clicked URLs present dramatic locality, which implies that query cache and 'hot click' cache can be employed to improve system performance. Then three typical cache replacement policies are compared, including LRU, FIFO, and LFU with attenuation. In addition, the distribution character-istics of web information are also analyzed, which demonstrates that the link popularity and replica pop-ularity of a URL have positive influence on its importance. Finally, variance between the link popularity and user popularity, and variance between replica popularity and user popularity are analyzed, which give us some important insight that helps us improve the ranking algorithms in a search engine.

关键词： world wide web search engine distribution characteristic web information user behavior.