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美国图书馆开源ILS应用分析与启示 总被引：1，自引：0，他引：1
图书馆集成系统分为开源ILS和专有ILS两大类。通过对美国图书馆选择和使用开源ILS情况的调查和分析,认为开源ILS是一条我国图书馆推进自动化管理的发展之路。 相似文献
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Although libraries tend to see the integrated library system (ILS) as a very “library” system, it is actually a powerful inventory and patron management system that can be used much more broadly. At American University, the library has many campus partner collections that it has added to the library catalog. Some collections contain books and media, like traditional library holdings, and some are made up of audiovisual and computer equipment. This article describes the process of cataloging these collections, the challenges of conceiving the ILS as a campus-wide system, and the benefits that these partnerships have brought to the library. 相似文献
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构建基于Web数据挖掘技术的信息服务系统 总被引：5，自引：0，他引：5
介绍Web数据挖掘的种类和方法,提出一个基于Web数据挖掘的信息服务系统结构,该结构以数据挖掘模块为中心,处理数据库、智能代理、Web服务器日志和用户接口多数据源的信息,以改善文献情报机构的服务质量。 相似文献
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ABSTRACT The automated library system (ALS) has undergone significant changes since its inception in the 1970s. It is no longer simply a database to house and retrieve a library's holdings. It has become an integrated library system (ILS) comprised of robust clusters of systems involving every process and module related to libraries. The Internet, open source, the increase in electronic resources, and the rising expectations of library users are changing the nature of the ILS. Library vendors are at times struggling to keep up with the demand for new services while providing support for existing services. This article details the evolving role of the ILS and discusses where it could and should be headed. 相似文献
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科研实体名称规范的关联数据模型构建 总被引：1，自引：0，他引：1
[目的/意义] 旨在研究将国家科技图书文献中心（National Science and Technology Library，NSTL）的科研实体名称规范数据发布为关联数据的难点——关联数据的数据模型。科研实体名称规范数据的数据模型研究，有助于NSTL科研实体数据的共享、互联、质量提升，融入到互联网中，同时也为其他机构使用、发布关联数据提供模型参考。[方法/过程] 首先，分析比较国内外关联数据发布项目中所采用的数据模型，发现关联数据发布项目中的数据模型主要分为以Schema.org为核心和多种标准词表组合两类；结合NSTL名称规范数据的特点，设计两种形式的关联数据模型，并从关联数据模型对名称规范数据的表达程度、模型复杂度等角度进行比较，选择较优方案；最后以D2RQ为工具进行实验，将NSTL名称规范的样例数据发布为关联数据。[结果/结论] 分析发现两种方案中以Schema.org为核心标准词表的方案相对于多种标准词表组合的方案有较优的表达完整度、较低的模型复杂度，更易于融入互联网，因此更适合作为NSTL名称规范数据的关联数据模型。 相似文献
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[目的/意义] 传统的集成图书馆系统（ILS）正在被图书馆服务平台（LSP）所取代,国内许多高校图书馆致力于对ILS的评估和对LSP的考察。然而,LSP的产品多种多样,图书馆很难决定哪种LSP最适合他们。对目前LSP主流产品的市场格局、发展情况进行分析,旨在为计划由ILS转向LSP的高校图书馆决策提供参考。[方法/过程] 基于国外高校图书馆使用LSP的体验和感知,对市场上主要的图书馆服务平台进行分析、评估和总结。[结果/结论]由于ILS/LSP市场的整合,LSP供应商数量正在缩减,目前只有Alma、Sierra和OCLC WMS得到充分实施。此外,开源项目FOLIO的推出为图书馆提供了另外一种思路。但目前这种单一的整合性图书馆服务平台不是解决方案,基于平台由若干松散耦合的组件构成的图书馆生态系统,才是图书馆真正的下一代服务平台,自主创新,研发适合国内图书馆环境的下一代开放服务平台迫在眉睫。 相似文献
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This article describes the experience in editing organization profiles in Scopus and in the Science Index for organizations system, which is an add-on to the Russian Science Citation Index (RSCI). The basic functionalities of the two systems are analyzed and comparison of the Science Index for organizations with the possibilities of editing an organization profile in Scopus is carried out. An attempt is made to give an objective assessment of the current state of the two systems from the user’s point of view. The conclusion is made that despite the more extensive functionalities of the Science Index for organizations, the feedback system in Scopus is well thought out and provides better control of changes that are requested by organizations. In the system of editing the profile of an organization in the RSCI the functional tools are characterized by a low level of moderation, which has a formal character; therefore, it can be used not only to edit a profile, but to create unreasonable increases in the values of bibliometric indicators. 相似文献
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运用图示法自动提取中文专利文本的语义信息 总被引：1，自引：0，他引：1
[目的/意义]提出利用图结构的表示法自动挖掘中文专利文本的语义信息,以为基于文本内容的专利智能分析提供语义支持。[方法/过程] 设计两种运用图结构的模型:①基于关键词的文本图模型;②基于依存关系树的文本图模型。第一种图模型通过计算关键词之间的相似性关系来定义;第二种图模型则由句中所提取的语法关系来定义。在案例研究中,借助频繁子图挖掘算法,对所建图模型进行子图挖掘, 并构建以子图为特征的文本分类器,用来检测所建图模型的表达性和有效性。[结果/结论]将所建的基于图模型的文本分类器应用于4个不同技术领域的专利文本数据集,并与经典文本分类器的测试结果相比较而知:前者在使用明显较少的特征数的基础上,分类性能较后者提升2.1%-10.5%。由此而推断,使用图结构的表达法并结合图挖掘技术从专利文本中所提取的语义信息是有效的,有助于进一步的专利文本分析。 相似文献
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Electoral processes are complex and need to be secure, reliable, and auditable. It is then important to define ways to evaluate their functional completeness and correction as well as their security and reliability. Many solutions to specific aspects of voting have been proposed but we do not know of any holistic view of this process. We present a unified approach to elections based on a conceptual model built using software patterns. A set of analysis patterns describe the structure and management of an election. The patterns describe voter registration, ballot structure, election day management, voting process, and the complete election. A conceptual model is built from the analysis patterns and defines precisely the functional properties of such a system together with its security requirements. The conceptual model is defined using UML diagrams that can be extended or complemented with formal methods to make the system verifiable. We show how to continue to the design phase for this system. While the model will not apply exactly to all elections it can be used as a reference architecture for voting applications and to show explicitly the security considerations for these kind of events. It can also be used for existing elections to verify that they have the required security provisions. The model can also be used as a reference for researchers to integrate their solutions in the complete process. 相似文献
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为了提高文本挖掘的深度和精度,研究并提出了一种基于领域本体的语义文本挖掘模型.该模型利用语义角色标注进行语义分析,获取概念和概念间的语义关系,提高文本表示的准确度;针对传统的知识挖掘算法不能有效挖掘语义元数据库,设计了一种基于语义的模式挖掘算法挖掘文本深层的语义模式.实验结果表明,该模型能够挖掘文本数据库中的深层语义知识,获取的模式具有很强的潜在应用价值,设计的算法具有很强的适应性和可扩展性. 相似文献
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图书馆自动化系统在RIA架构下的优点与新功能性需求分析 总被引：1，自引：0，他引：1
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[目的/意义] 在科学研究中,从不同来源的科技文献中识别挖掘科研热点对于开展科研工作具有指导意义。旨在通过本研究提出的模型方法,快速准确地识别蕴含在多源文本中的热点主题,为科研创新提供支撑服务。[方法/过程] 提出一种基于LDA2vec模型的多源文本下科研热点识别的方法并针对科研热点识别构建模型,该方法融合LDA主题模型对隐含语义挖掘的优势和Word2Vec词向量模型对于上下文关系把握的优势。以机器学习领域的科技文献为例,利用模型困惑度和主题一致性两个指标对LDA2vec的在本领域应用的可行性和有效性进行验证,并与LDA的主题提取效果进行对比。[结果/结论] 实验结果表明,提出的方法在面对多源数据情况下,进行科研热点识别挖掘是可行的,且在一定程度上有效果的提升,对利用单一数据源进行主题分析的不足进行补充,对多数据源融合的实践应用进行丰富。 相似文献
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运用非相关文献知识发现方法挖掘科研机构潜在的合作方向 总被引：4，自引：0，他引：4
以非相关文献知识发现方法为理论基础，尝试利用Arrowsmith程序发现美国斯坦福大学和哥伦比亚大学在医学信息学研究领域的潜在合作方向，并与高频主题词聚类分析所找出的两机构的研究热点作比较，检验能否将这种方法运用到寻求发现科研机构合作与交流的领域中。结果表明，利用Arrowsmith所挖掘的科研合作与交流的内容更加详细、明确，能体现出研究所使用的具体方法和侧重点，能更好地体现出两个机构研究内容的相似点（可以合作之处）和不同点（可以相互交流、学习之处）。 相似文献
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为了将长期保存的网络信息资源提供给用户利用,保存机构需要对这些资源进行一定的组织与质量控制。文章介绍了网络资源保存编目研究的发展现状,介绍了目前几种常用的编目方法：延续传统编目方法、基于web2．0标签技术的信息组织方法、基于大规模Web archive自动编目方法。并对两个新型的编目系统进行了深入的剖析：一个是瑞士的电子资源长期保存工程e-Helvetica,它将图书馆编目系统与长期保存系统的摄入流程进行集成整合,利用编目系统对长期保存资源进行组织与控制;另外一种是新加坡的网页标注系统WAWI,借鉴web2．0标签技术为长期保存系统中的网络资源添加标签,实现对资源内容语义层面上的控制。希望能为国内网络信息资源保存的相关研究与实践提供一些参考。该文为2009年第七期“网络信息资源保存”专题文章之一。 相似文献
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Zhonghong Wang 《The Journal of Academic Librarianship》2009,35(3):207-220
An online survey was sent to academic libraries and consortia with an integrated library system (ILS) migration project, based on review of press releases from major U.S. ILS vendors. This study takes a systematic approach to provide a snapshot of the academic ILS market and key factors affecting the outcome of an ILS migration project. It reveals the challenges and opportunities facing academic libraries and ILS vendors in an environment with rapidly changing technology and increasingly sophisticated academic users. 相似文献
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《Library Collections, Acquisitions, and Technical Services》2008,32(3-4):115-120
An Integrated Library System (ILS) is an automated system, which usually consists of a number of functional modules, such as acquisitions, circulation, cataloging, serials, an OPAC (Online Public Access Catalog) and so on. All of the functional modules share a common bibliographic database. In this paper we will investigate the application status of Integrated Library System in Chinese main academic libraries and make a comparative analysis of three sorts of domestic Integrated Library Systems. 相似文献
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Bethany Sheriese McGowan Jason B. Reed Jane Kinkus Yatcilla 《Journal of the Medical Library Association》2021,109(2):323
Background:In 2015, librarians at Purdue University began fielding requests from many disciplines to consult or collaborate on systematic review projects, and in 2016, health sciences librarians led the launch of a formal systematic review service. In 2019, Purdue University Libraries was reorganized as the Libraries and School of Information Studies (PULSIS) and assigned its own course designation, ILS. The increase in calls for systematic review services and the ability to teach ILS courses inspired the development of a credit-bearing ILS systematic review course.Case presentation:We designed, taught, and assessed a one-credit systematic review course for graduate students, using a backward-design course development model and applying self-determination theoretical concepts into lessons, assignments, and assessments. Using qualitative pre- and post-assessments, we discovered a variety of themes around student motivations, expectations, and preferences for the course. In quantitative post-class assessments, students reported improved confidence in all systematic review processes, with the highest confidence in their ability to choose and use citation management managers, describe the steps in the systematic review process, and understand the importance of a reproducible and systematic search strategy.Conclusions:We considered our pilot a success. Next steps include testing 2- and 3-credit- hour models and working to formally integrate the course into departmental and certificate curriculums. This case report provides a model for course design principles, learning outcomes, and assessments that librarians and library administrators can use to adjust their systematic review services. 相似文献
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Meriem Amina Zingla Chiraz Latiri Philippe Mulhem Catherine Berrut Yahya Slimani 《Information Retrieval》2018,21(4):337-367
Query expansion (QE) is an important process in information retrieval applications that improves the user query and helps in retrieving relevant results. In this paper, we introduce a hybrid query expansion model (HQE) that investigates how external resources can be combined to association rules mining and used to enhance expansion terms generation and selection. The HQE model can be processed in different configurations, starting from methods based on association rules and combining it with external knowledge. The HQE model handles the two main phases of a QE process, namely: the candidate terms generation phase and the selection phase. We propose for the first phase, statistical, semantic and conceptual methods to generate new related terms for a given query. For the second phase, we introduce a similarity measure, ESAC, based on the Explicit Semantic Analysis that computes the relatedness between a query and the set of candidate terms. The performance of the proposed HQE model is evaluated within two experimental validations. The first one addresses the tweet search task proposed by TREC Microblog Track 2011 and an ad-hoc IR task related to the hard topics of the TREC Robust 2004. The second experimental validation concerns the tweet contextualization task organized by INEX 2014. Global results highlighted the effectiveness of our HQE model and of association rules mining for QE combined with external resources. 相似文献
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��[Purpose/significance] In scientific research, identifying mining scientific research hotspots from different sources of scientific literature is of guiding significance for carrying out the next scientific research work. It aims to quickly and accurately identify hot topics contained in multi-source texts through the model method proposed in this study, and provide support services for scientific research innovation.[Method/process] This paper proposed a method based on LDA2vec model for multi-source text research hotspot identification and built a model for scientific research hotspot identification. This method combined the advantages of LDA topic model on implicit semantic mining and the context of Word2Vec word vector model. Taking the scientific literature in the field of machine learning as an example, the model extraction degree (perplexity) and topic coherence (topic coherence) were used to compare the topic extraction effects of LDA2vec and LDA in the context of multi-source text.[Result/conclusion] After experiments, the results show that the method proposed in this paper is feasible and can be improved to some extent in the face of multi-source data. The method can relatively quickly and accurately identify the hot content in the multi-data source text, make up for the shortcoming of the single analysis data source for subject detection, and enrich the practical application of the multi-data source fusion theory system. 相似文献