Available Internet Literature Retrieval System in China
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Several economical and effective Internet Retrieval Systems in China were introduced and evaluated, those wereCNKI China Journals Net , National Science and Technology Library System, WanFang Data Info Site, TianYuan Data Web.Keywords:
Web site
Web of science
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The concept of Web-based information retrieval support systems (WIRSS) is introduced. The needs for WIRSS are shown by a detailed case study of existing research article indexing and citation analysis systems, such as current content, DBLP, science citation index and CiteSeer. The objective of WIRSS is to build new and effective research tools for scientists to access, explore and use information on the Web, which may lead to improved research productivity and quality.
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From the angle of cost and benefit,this paper describes two important methods for sharing information resources-online retrieval and Web retrieval.Their current characteristics are qualitatively analyzed.Some inspirations drawn from cost benefit analysis are given.
Adversarial information retrieval
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The paper introduces the information retrieval systems of three major journals full-text databases in China: CNKI China Journals Full-text Database, VIP China Science and Technology Journal Database, and Wanfang Data-Academic Journals Full-text Database,makes a comparative study on their retrieval approaches, retrieval functions, and retrieval results. With the analysis of pros and cons and the suggestions, the paper aims to improve the completeness and accuracy of information retrieval, and offer help to users for reference.
Completeness (order theory)
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In accordance with the need for the development of library and information service,this paper discusses the function,characteristics and uses of Chinese Journal Database,and makes some suggestions about its retrieval system.
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The goal of this text is to introduce about the retrieval methods and technique of sci-tech information resources on Internet through the information of electronic journals,conference papers,patent,dissertations,normative documents and making of retrieval tactics.
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Information Retrieval (IR) frameworks that can utilize the enormous source of Information available from internet resources would give a progressive step forward as far as conveying large volumes of data inexpensively and unambiguously, along these lines empowering an wide variety of new information driven applications and administrations. In spite of, the existing few IR frameworks, newly suggested IR frameworks have effectively made the progress from research center to business application in the era of information mining. The paper concentrates on different essential objectives. Firstly, we demonstrate that a Information retrieval framework which is utilized for genuine applications and diverse spaces can be fabricated utilizing some self-ruling, corporate parts (specialists). Besides, we demonstrate that machine learning and, specifically, learning in various routes and at various levels, which can be utilized to manufacture functional IR systems. We demonstrate that choosing the correct machine learning strategy for performing text mining and particular examining can be utilized to reduce the human exertion required to clarify cases for building such frameworks. Over the most recent couple of years a few creators have tended to the issue to change over Internet archives from unstructured or semi-organized organization into organized and in this way page ranking mechanisms are introduced. In this paper we quickly study the most encouraging and efficient retrieval devices which retrieves only accurate Information based on query given by users.
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The network database system of major domestic literature search was described in this article,and online information resources were collected which was based on the requirement of scientific literature and the high speed and efficient retrieval methods for the websites database and information resources of the domestic information resource site were provided.
Scientific literature
Information resource
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