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【目的】借助计算机技术和网络技术,通过研究数据库的数据展示形式和网页结构,挖掘和获取行业成果信息,提升科研人员提升科研成果信息的检索效率。【方法】分析了现阶段国内外媒体数字化转型的现状和科技期刊进行数字出版转型的必要性,提出并分析论证了小型科技期刊出版单位以自身的专业优势转型为“科研助手”型科技信息服务专业提供商的过程中,实现基于海量科技信息的核心信息挖掘、抓取、整合和提供服务的新的经营模式。【结果】设计并研发数据挖掘和分析软件工具,完成了对有效数据的自动获取和分析整理,并进行了测试和具体应用验证。【结论】根据科技期刊编辑部的实际情况提出了系统性解决方案,有利于编辑部热点跟踪、学术引领和渠道建设等方面提升工作效率、提高整体服务质量和水平,并初步探索了科技期刊从单纯办刊向科研信息服务转型的新方向。
【Objective】 With the help of computer technology and network technology, the data display form and web page structure of database are researched, and the information of industry achievements is extracted and obtained so as to enhance the efficiency of scientific research personnel in improving the retrieval efficiency of scientific research achievements. 【Methods】 The paper analyzes the status quo of digital transformation of domestic and foreign media at present and the necessity of sci-tech periodicals for digital publishing and transformation. It puts forward and analyzes that the publishing units of small sci-tech periodicals are transformed into “scientific assistant” Information service providers in the process of professional, based on the massive information technology to achieve the core information mining, capture, integration and provision of services, a new business model. 【Result】 Data mining and analysis software tools were designed and developed. Automatic data collection and analysis were completed and validated. Testing and application verification were carried out. 【Conclusion】 According to the actual situation of scientific journals editorial department put forward a systematic solution that is conducive to editorial hot spot tracking, academic leadership and channel construction and other aspects to improve work efficiency and improve overall service quality and level, and initially explored the sci-tech periodicals from The New Direction of the Transformation from Simple Journalism to Scientific Research Information Service.