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Hyperactive Grey Objects

机译:多动灰色物体

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摘要

Previous papers on grey literature by the authors have described (1) the need for formal metadata to allow machine understanding and therefore scalable operations; (2) the enhancement of repositories of grey (and other) e-publications by linking with CRIS (Current Research Information Systems); (3) the use of the research process to collect metadata incrementally reducing the threshold barrier for end-users and improving quality in an ambient GRIDs environment. This paper takes the development one step further and proposes “intelligent” grey objects. The hypothesis is in 2 parts: (1) that the use of passive catalogs of metadata does not scale (a) in a highly distributed environment with millions of nodes and (b) with vastly increased volumes of R&D output grey publications with associated metadata; (2) that a new paradigm is required that (a) integrates grey with white literature and other R&D outputs such as software, data, products and patents (b) in a self-managing, self-optimizing way and that this paradigm manages automatically curation, provenance digital rights, trust, security and privacy. Concerning (1) existing repositories provide catalogs; harvesting takes increasing time ensuring non-currency. The end-user expends much manual effort/intelligence to utilize the results. The elapsed time of (1) the network (2) the centralized (or centrally controlled distributed) catalog server searches (3) end-user intervention becomes unacceptable. Concerning (2) there is no paradigm currently known to the authors that satisfies the requirement. Our proposal is outlined below. Hyperactive combines both hyperlinking and active properties of a (grey) object. Hyperlinking implies multimedia components linked to form the object and also external links to other resources. The term active implies that objects do not lie passively in a repository to be retrieved by end-users. They “get a life” and the object moves through the network knowing where it is going. A hyperactive grey object is wrapped by its (incrementally recorded) formal metadata and an associated (software) agent. It moves through process steps such as initial concept, authoring, reviewing and depositing in a repository. The workflow is based on the rules and information in the corporate data repository with which the agent interacts. Once the object is deposited, the agent associated with it actively pushes the object to the end-users (or systems) whose metadata indicate interest or an obligation in a workflowed process. The agents check the object and user (or system) metadata for rights, privacy, security parameters, and for any charges and assure compatibility. Alternatively the object can be found passively by end-user or system agents. The object can also associate itself with other objects forming relationships utilising metadata or content. Declared relationships include references and citations; workflowed relationships include versions and also links to corporate information and research datasets and software; inferenced relationships are discovered relationships such as between documents by different authors developed from an earlier idea of a third author. Components of this paradigm have been implemented to some extent. The challenge is implementing—respecting part two of the hypothesis—the integration architecture. This surely is harnessing the power of grey.
机译:作者先前关于灰色文献的论文描述了(1)需要正式的元数据以使机器能够理解,从而实现可扩展的操作; (2)通过与CRIS(当前研究信息系统)链接来增强灰色(和其他)电子出版物的资料库; (3)利用研究过程来逐步收集元数据,从而减少了最终用户的门槛障碍,并提高了GRID环境的质量。本文将开发工作向前推进了一步,并提出了“智能”灰色物体。该假设分为两个部分:(1)使用元数据的被动目录无法扩展(a)在具有数百万个节点的高度分散的环境中,以及(b)具有相关元数据的R&D输出灰色出版物的数量大大增加; (2)需要一种新的范式,该范式(a)将灰色与白色文献和其他R&D输出(例如软件,数据,产品和专利)相集成(b)以自我管理,自我优化的方式进行,并且该范式是自动管理的策展,出处数字版权,信任,安全和隐私。关于(1)现有存储库提供目录;收获需要花费更多时间来确保非货币性。最终用户要花费大量的精力/精力来利用结果。 (1)网络(2)集中式(或中央控制的分布式)目录服务器搜索(3)最终用户干预的经过时间变得不可接受。关于(2),目前尚无作者可以满足要求的范式。我们的建议概述如下。 Hyperactive结合了(灰色)对象的超链接和活动属性。超链接意味着多媒体组件被链接以形成对象,并且还包含与其他资源的外部链接。术语“主动”表示对象不是被动地位于要由最终用户检索的存储库中。他们“获得生命”,物体在网络中移动,知道其前进的方向。多动灰色对象由其(递增记录的)形式元数据和关联的(软件)代理包裹。它经历了诸如初始概念,创作,审查和存储在存储库中的过程步骤。工作流基于与代理进行交互的公司数据库中的规则和信息。一旦存放了对象,与之关联的代理就会将对象主动推送给最终用户(或系统),这些用户的元数据表示工作流程中的兴趣或义务。代理检查对象和用户(或系统)元数据的权限,隐私,安全参数以及任何费用,并确保兼容性。另外,最终用户或系统代理可以被动地找到对象。该对象还可以利用元数据或内容将自身与其他形成关联关系的对象相关联。声明的关系包括参考和引用;工作流关系包括版本,以及到公司信息,研究数据集和软件的链接;推断关系是发现的关系,例如不同作者之间的关系,这些关系是从第三作者的早期想法发展而来的。此范例的组件已在一定程度上实现。挑战是实现(假设的第二部分)集成体系结构。这肯定是在利用灰色的力量。

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