共查询到20条相似文献，搜索用时 218 毫秒
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中国科学院实行图书情报一体化的回顾和展望 总被引：5，自引：0，他引：5
回顾中国科学院实行图书情报一体化的发展历程。阐述实行图书情报一体化的具体办法:建立图书情报一体化的组织机构;明确图书情报一体化的方向和任务;实行图书情报一体化的管理机制;建立图书情报一体化的网络;制定图书情报一体化的政策、法规;加强图书情报一体化的教育体系;探索图书情报一体化的理论。分析实行图书情报一体化的好处、经验和存在问题。对未来提出四点展望:(1)加强整体化建设;(2)合理调整文献情报机构布局;(3)认真研究图书情报一体化的理论;(4)改变传统的图书馆意识,增强图书情报一体化的观念。 相似文献
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论网络环境下的信息服务 总被引：9，自引：0，他引：9
本文通过对网络环境下的信息资源的特点进行分析,提出了在网络环境下稿好信息服务的5个问题:(1)网络环境下的信息服务可以大致地开展一般信息产品输出型服务;(2)加速信息传递网的建立,建立快速有效的信息传递通道和文献保障体系;(3)图书馆界应抓住信息资源可以共享的特征,实现联机编目、联机检索、联机订购、联机传递文献、联机互借管理、联机建库、联机共享公共软件程序库等;(4)不断完善书目数据库,健全二次文献系统,实现对各类型信息资源的书目数据库的加工;(5)加强信息服务的市场营销. 相似文献
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总结几年来在开发利用医学文献资源的实践中通过科学确定核心书刊高效开发利用资源；深入开发文献资源提高服务层次；揭示馆藏信息实现资源共享；培养提高用户情报意识和检索能力；紧跟信息时代步伐开展计算机检索服务，及国际期刊交换促进国际眼科学信息交流等。并提出强化情报意识，重视继续教育及经常对用户开展情报需求调查等建议。 相似文献
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对广东省22种农业期刊的主管(主办)单位、出版周期及刊载容量、编辑人才队伍建设、网站建设化情况及学术影响力等进行调查分析,结果显示,广东省农业期刊分散经营、实力弱、产业集中度低,各类资源得不到整合并充分利用,难以形成规模效益。提出以下建议:(1)通过省期刊管理部门引导整合,扶优劣汰;(2)由主管(主办)单位协商整合,成立以广东省农业科学院、省农业厅、省科学技术协会、华南农业大学等4个单位为主的农业期刊刊群,待时机成熟再成立农业期刊出版集团;(3)有条件的编辑部先行先试,合作建立"事实刊群",实现资源共享。 相似文献
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评布鲁克斯的《情报科学的发展》 总被引：1，自引：0，他引：1
本文对世界知名的情报科学专家英国的B.C.布鲁克斯的专稿——《情报科学的发展》,从四个方面进行了学术评论:(1)努力向“科学”高度挺进;(2)对文献计量学独特的认识与理解;(3)适当地评价电子计算机在情报科学发展中的作用;(4)重视科学计量学。 相似文献
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灰色文献是一种出版简单,发行范围狭窄,获取和利用难的资料.由于它所含资料的内容复杂、信息量大、情报价值高,已成为各国研究利用的重要信息资源.尤其是在发达国家相继举办灰色文献各种学术会,建立专门组织从事其研究与利用工作.相比之下,笔者认为,我国在这方面的研究比较薄弱,有必要借鉴国外的经验,加强我国灰色文献的研究、开发利用工作. 相似文献
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关于我校本科毕业论文引文的分析与思考 总被引：1，自引：1，他引：0
通过对重庆文理学院汉语言文学专业本科毕业论文引文的统计分析,提出了加强大学生情报教育、增强大学生利用情报能力的培训以及图书馆开发利用灰色文献等措施。 相似文献
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利用因特网信息资源开展竞争情报研究 总被引：4，自引：0，他引：4
因特网是目前国际上信息资源最丰富的网络,它在企业竞争情报研究中得到广泛应用,本文从以下六个方面论述了因特网在企业竞争情报中的应用:(1)强化企业形象,实现国际化经营;(2)有利于企业开拓市场,企业可通过在因特网上建立网页发布商业信息,也可在网上建立电子市场进行商业促销;(3)从因特网上收集竞争对手的商业信息,包括产品样品、销售价格和配置等;(4)利用因特网开发人才资源,如招聘雇员;(5)企业利用因特网开展电子商务;(6)制定企业竞争策略.在此基础上,作者展望了利用因特网开展竞争情报咨询服务的未来. 相似文献
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情报是人类的一种宝贵的精神财富,也是人类社会的“第二资源”,是构成现代社会的强大支柱之一。开发利用情报资源,提高情报利用率,将有效地促进经济和社会的发展。文献情报即用文字、图象、数码、符号,采用书写、印刷或诸如光学、电磁学等方法记录在一定载体上的情报。印刷型 相似文献
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通过对农业网页的HTML结构和特征研究,叙述基于文本内容的农业网页信息抽取和分类实验研究过程。实验中利用DOM结构对农业网页信息进行信息抽取和预处理,并根据文本的内容自动计算文本类别属性,得到特征词,通过总结样本文档的特征,对遇到的新文档进行自动分类。实验结果表明,本文信息提取的时间复杂度比较小、精确度高,提高了分类的正确率。 相似文献
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明晰农业科技情报机构研发效率,有利于促进科技信息更好地服务现代农业发展。该文基于DEA测算我国农业科技情报机构研发效率,并比较分析部属和省属机构研发效率。结果为：（1）全国农业科技情报机构技术效率均值仅0.709,且无论是纯技术效率还是规模效率,部属机构都较高;（2）农业科技情报机构纯技术效率有40%以上评价年份显示无效,其中部属机构纯技术效率无效年份效率值明显高于省属;（3）农业科技情报机构研发规模效率值多数年份在0.8以上,且部属机构规模效率较省属高。 相似文献
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共引分析：研究学科及其文献结构和特点的一种有效方法 总被引：12，自引：2，他引：12
利用聚类分析和多维标度技术对1987年农业科学文献进行了文章共引分析,即按被引次数及共引情况选出28篇文章作为分析对象,用多维标度技术把高维引文空间中的28个文献点以二维散点图的形式表示出来,并把这些点通过聚类分析圈成点群,根据这样的圈所提供的信息,分析讨论了农业科学及其文献的结构和特点。 相似文献
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《Information processing & management》2020,57(3):102216
Learning semantic representations of documents is essential for various downstream applications, including text classification and information retrieval. Entities, as important sources of information, have been playing a crucial role in assisting latent representations of documents. In this work, we hypothesize that entities are not monolithic concepts; instead they have multiple aspects, and different documents may be discussing different aspects of a given entity. Given that, we argue that from an entity-centric point of view, a document related to multiple entities shall be (a) represented differently for different entities (multiple entity-centric representations), and (b) each entity-centric representation should reflect the specific aspects of the entity discussed in the document.In this work, we devise the following research questions: (1) Can we confirm that entities have multiple aspects, with different aspects reflected in different documents, (2) can we learn a representation of entity aspects from a collection of documents, and a representation of document based on the multiple entities and their aspects as reflected in the documents, (3) does this novel representation improves algorithm performance in downstream applications, and (4) what is a reasonable number of aspects per entity? To answer these questions we model each entity using multiple aspects (entity facets1), where each entity facet is represented as a mixture of latent topics. Then, given a document associated with multiple entities, we assume multiple entity-centric representations, where each entity-centric representation is a mixture of entity facets for each entity. Finally, a novel graphical model, the Entity Facet Topic Model (EFTM), is proposed in order to learn entity-centric document representations, entity facets, and latent topics.Through experimentation we confirm that (1) entities are multi-faceted concepts which we can model and learn, (2) a multi-faceted entity-centric modeling of documents can lead to effective representations, which (3) can have an impact in downstream application, and (4) considering a small number of facets is effective enough. In particular, we visualize entity facets within a set of documents, and demonstrate that indeed different sets of documents reflect different facets of entities. Further, we demonstrate that the proposed entity facet topic model generates better document representations in terms of perplexity, compared to state-of-the-art document representation methods. Moreover, we show that the proposed model outperforms baseline methods in the application of multi-label classification. Finally, we study the impact of EFTM’s parameters and find that a small number of facets better captures entity specific topics, which confirms the intuition that on average an entity has a small number of facets reflected in documents. 相似文献
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This paper reports our experimental investigation into the use of more realistic concepts as opposed to simple keywords for document retrieval, and reinforcement learning for improving document representations to help the retrieval of useful documents for relevant queries. The framework used for achieving this was based on the theory of Formal Concept Analysis (FCA) and Lattice Theory. Features or concepts of each document (and query), formulated according to FCA, are represented in a separate concept lattice and are weighted separately with respect to the individual documents they present. The document retrieval process is viewed as a continuous conversation between queries and documents, during which documents are allowed to learn a set of significant concepts to help their retrieval. The learning strategy used was based on relevance feedback information that makes the similarity of relevant documents stronger and non-relevant documents weaker. Test results obtained on the Cranfield collection show a significant increase in average precisions as the system learns from experience. 相似文献
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省级科技情报(信息)机构科技文献资源建设探讨 总被引：4，自引：0，他引：4
1 问题的提出科技文献资源一直是科技情报 (信息 )机构的重要基础保障与支撑之一 ,传统衡量信息机构规模与实力的依据往往是书库面积与馆藏量。然而 ,随着时代的发展 ,外部因素的诸多变化对传统文献工作的发展方向与工作模式产生了深刻的影响并引起了一系列的变革。通过对山东省及全国部分省科技文献资源的调查、分析 ,笔者认为目前科技文献资源布局和建设状况及存在的问题有如下特点。1) 2 0世纪 80年代末至 90年代中后期 ,由于科技体制改革、拨款方式变化及各种涨价因素的影响 ,各科技情报 (信息 )机构、高校图书馆都不同程度地减少了订… 相似文献
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Structured document retrieval makes use of document components as the basis of the retrieval process, rather than complete documents. The inherent relationships between these components make it vital to support users’ natural browsing behaviour in order to offer effective and efficient access to structured documents. This paper examines the concept of best entry points, which are document components from which the user can browse to obtain optimal access to relevant document components. It investigates at the types of best entry points in structured document retrieval, and their usage and effectiveness in real information search tasks. 相似文献
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《Information processing & management》1999,35(1):1-18
This paper is an interim report on our efforts at NIST to construct an information discovery tool through the fusion of hypertext and information retrieval (IR) technologies. The tool works by parsing a contiguous document base into smaller documents and inserting semantic links between these documents using document–document similarity measures based on IR techniques. The focus of the paper is a case study in which domain experts evaluate the utility of the tool in the performance of information discovery tasks on a large, dynamic procedural manual. The results of the case study are discussed, and their implications for the design of large-scale automatic hypertext generation systems are described. 相似文献
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《Information processing & management》2005,41(4):759-775
Lately there has been intensive research into the possibilities of using additional information about documents (such as hyperlinks) to improve retrieval effectiveness. It is called data fusion, based on the intuitive principle that different document and query representations or different methods lead to a better estimation of the documents' relevance scores.In this paper we propose a new method of document re-ranking that enables us to improve document scores using inter-document relationships. These relationships are expressed by distances and can be obtained from the text, hyperlinks or other information. The method formalizes the intuition that strongly related documents should not be assigned very different weights. 相似文献