共查询到20条相似文献，搜索用时 109 毫秒
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数字图书馆是利用计算机技术、网络技术和数字化技术实现的跨地区、跨国家的信息资源传递与服务系统。元数据是信息资源共享与交换技术发展中的重要问题,是数字图书馆建设的基础工作。元数据的描述对象主要是网络环境下的电子资源,包括数据集、文本信息、图像、音乐和其他任何电子化事物的数据信息。元数据适用于描述任何网络数据和资源,是促进网络信息资源组织和获取的数据,对数字图书馆的发展起着重要作用。 相似文献
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一、关于元数据元数据这一概念起源于计算机科学,是指能够有效描述资料的方式,后来面对电子信息所特有的分散性、变动性与多元性,元数据再度引起更广泛的关注。在档案界,最先使用“元数据”这一术语的是美国电子文件元数据研究专家戴维·比尔曼,他在20世纪90年代初发表的有关电子文件管理的文献首先引用了这一术语。元数据(Metadata)最简单的直接的定义是“关于数据的数据”(data about data)。国际档案界提出了电子文件(档案)管理元数据的定义“,在对电子文件及其与文件创建和管理有关的人、过程和系统进行确认以及为其提供凭证和背景信息… 相似文献
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(续上期)8.4.10元数据的维护8.4.10.1过程和方法可以采用若干种方法和技术对元数据及元数据结构进行组织和维护。可以采用数据字典对实体、数据类型和数据间关系进行描述;采用XM L可扩展编程语言对数字对象的结构进行明确描述。维护的程序如下:a)监控,保证在元数据维护过程中数据的完整性;b)采取安全措施,控制元数据访问,例如建立个人/系统与实体/对象之间的授权规则,包括谁有权利改变元数据的结构;c)系统失败时的恢复机制;d)备份程序;e)通过信息技术环境进行迁移或更换/升级元数据管理系统。8.4.10.2元数据的真实性和确定性为了保证文件… 相似文献
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Dublin Core与USMARC的差异浅析 总被引：1，自引：0，他引：1
随着网络的发展,网络资源的组织、整理、查找的问题日益突出,如何使网络资源从无序走向有序成为社会各界关心的问题。为了有效地解决这个问题,元数据这一概念应运而生。元数据英文定义为“dataabout data”。是指关于数据的数据,它是用来揭示各类型电子文献的内容和其它特性,进而达到网络资源的组织、分类、索引等目的。它是描述Internet信息资源的一种数据格式,利用它可以促进Internet信息资源 相似文献
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OAI-PMH元数据的关联数据化方法研究 总被引：1，自引：0，他引：1
OAI-PMH元数据的关联数据化是指将OAI仓储中的元数据转换为关联数据,可以解决用户在按传统方式采集这些元数据时所遇到的问题.总结现有相关研究的不足,描述OAI-PMH元数据的关联数据化方法的基本原理,对URI分配方法、用于描述关联数据的元数据元素的确定、关联信息的生成等关键问题进行探讨. 相似文献
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文章阐述了视音频信息资源组织面临的问题,论述了国家社科项目《视音频信息元数据集》的设计原则、描述对象间的关系、元素与修饰词的设置以及元数据集的特点,预测了未来视音频信息元数据的发展趋势. 相似文献
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文献编目的第三条道路--MODS的简介与分析 总被引：6，自引：0，他引：6
对美国国会图书馆正在研制的一种元数据格式MODS(无数据对象描述模式)的语义和句法特点作了详细的阐述，并将其与传统MARC格式作了比较，以期对我国数字图书馆中的信息资源编目工作有所启示。 相似文献
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数据与数据之间通过富含语义链接的方式形成了有价值的数据网络,在以语义网为核心的网络架构中,网络资源的语义化结构、细粒度描述、数据关联等特性对数据加工及利用提出了新的挑战,信息组织的处理对象及外延发生着变化,信息组织工具不断丰富且功能趋于统一。本文依据信息组织的不同功能和处理流程可以将其细分为资源层、元数据记录层、词表层,分别对各个层次的特点、变化及其未来发展进行分析,认为从文本中准确提取出反映语义含义的特征项是当前信息组织的关键问题,元数据集、知识组织系统成为词表的主要构成,知识组织系统呈现出描述对象概念化、语义关系多样化、描述语言形式化、数据开放关联性四大特点。图3。参考文献23。 相似文献
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（续上期）
8．4．10元数据的维护
8．4．10．1过程和方法
可以采用若干种方法和技术对元数据及元数据结构进行组织和维护。可以采用数据字典对实体、数据类型和数据间关系进行描述；采用XML可扩展编程语言对数字对象的结构进行明确描述。 相似文献
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基于数据挖掘的图书数据预处理 总被引：2，自引：0，他引：2
为了更好地从数据类型复杂、冗余空缺值多的海量图书数据中挖掘出切实有用的信息,就必须对数据源进行预处理。基于此目的,文章详细介绍了图书数据的预处理方法,并通过安徽省图书馆图书数据实例验证其有效性和可行性,从而为读者服务提供可靠保障。 相似文献
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阐述编辑工作中资料鉴别与应用的重要性，介绍文字资料，实物资料，石碑资料，音像资料的特性，认为对资料的鉴别与应用要力求准确，全面，精当和创新。 相似文献
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Increased demand for data-driven decision making is driving the need for librarians to be facile with the data life cycle. This case study follows the migration of reference desk statistics from handwritten to digital format. This shift presented two opportunities: first, the availability of a nonsensitive data set to improve the librarians'' understanding of data-management and statistical analysis skills, and second, the use of analytics to directly inform staffing decisions and departmental strategic goals. By working through each step of the data life cycle, library faculty explored data gathering, storage, sharing, and analysis questions. 相似文献
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Open data is a global movement with the potential to generate significant social and economic benefits. Policies on open government data (OGD) inspire the development of new and innovative services that government agencies may lack. The International Open Data Charter adequately describes the importance of data mining. Governments that have signed this charter should focus on the following areas—(i) data mining, (ii) linkage, and (iii) in-depth analysis, i.e., distribution of open data that is freely accessible for elaborate analysis using machine reading. However, a series of practical difficulties is observed in connection with the data mining of OGD for in-depth analysis. First, most OGD do not have identifiers to prevent privacy disclosure. Second, owing to the nature of siloed data, the data sharing and collection methods vary with respect to heterogeneous OGD, and administrative or institutional barriers need to be overcome. This has created a demand for a novel technical solution that applies micro-aggregation and distance-based record linkage to address the aforementioned issues. Thus, in this study, a method capable of integrating two or more de-identified OGDs into one dataset to enable OGD data mining is proposed. In addition, the proposed method allows users to adjust the privacy threshold level to determine an appropriate balance between privacy disclosure risk and data utility. The effectiveness of the method is evaluated in terms of several metrics via extensive experimentation. This study emphasizes the importance of the research on efficient utilization of already-published OGDs, which has been relatively neglected in the past. Further, it broadens the research area for privacy-preserving data mining by proposing a method capable of mining heterogeneous data even in the absence of identifiers. 相似文献
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《Government Information Quarterly》2022,39(2):101642
Government agencies are becoming more data-driven and need high-quality data to fulfill their roles in society. In the past, each agency organized its own data exchange system according to its own needs. Today, data is distributed over many organizations, and government agencies need to adopt an ecosystem approach for data exchange. Fundamental in the ecosystem approach is the dependence on other parties for the execution of stewardship strategies. Data-driven government agencies increasingly depend on other organizations for high-quality data and data stewardship across organizations is becoming more critical. While there is ample research on data stewardship within organizations, little is known about data stewardship in ecosystems. More specifically, it is unclear which data stewardship strategies government agencies can employ in ecosystems. The main goal of this explorative paper is to identify and compare data stewardship strategies used in empirical government-business ecosystems. Following an explorative case study approach, this paper reveals three different configurations of inter-organizational data stewardship: 1) the government-led ecosystem, 2) the government-business-led ecosystem, and 3) the regulation-led ecosystem. The case studies expose a wide array of data stewardship strategies across ecosystems. While the ecosystem approach provides advantages such as cost-sharing and innovation by private parties, government agencies become increasingly dependent on private parties to gain high-quality data and provide distributed infrastructure components. Maximizing the benefits and minimizing the risks of the ecosystem approach requires government agencies to be cautious when selecting a specific ecosystem configuration. 相似文献
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Cas Laskowski 《The Journal of Academic Librarianship》2021,47(4):102335
Academic libraries have been supporting research data management for decades, but are rarely their institutions central research support unit. As more researchers look to leverage big datasets for new insights, research data management is going to get ever more complex. For institutions of higher education to face these new challenges, they need to make libraries institutional leaders in this area. Doing so will reduce waste and risk while providing clearer guidance and fuller support through the entire research cycle. 相似文献
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Robert F. Winter 《Publishing Research Quarterly》1992,8(3):5-11
Book publishing is a relatively small and extremely volatile industry. For this reason, it is difficult to collect data and formulate statistics. This article describes the statistics program of the Association of American Publishers and the Trends Program of the Book Industry Study Group, including information on how data are collected, organized, and published. Measures taken to ensure confidentiality are also described. 相似文献