超越文档库:基于门户的社区数据云浏览和探索

Yong Liu, Kailash Kotwani, Alejandro Rodríguez, J. Futrelle, R. McGrath, J. Myers
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引用次数: 1

摘要

每个现代门户都附带了某种形式的内部文档库portlet工具,可用于使组能够共享文件。不幸的是,某些限制——portlet只能查看由门户直接管理的数据,文档和数据文件是可以浏览的唯一资源——使得这些工具在许多实际协作中不那么有价值。本文描述了一个语义增强的科学资源库portlet,它扩展了传统的文档库,使其能够与云中的多个分布式存储库进行交互,并扩展了可以查看的资源集,使其超越简单的分层文档文件夹-文件结构,包括人员、传感器、数据流和其他复杂的数字实体及其关系。我们的技术基于语义内容抽象和上下文聚合功能,Tupelo是一种语义内容中间件,并作为基于liferray的CyberCollaboratory门户的portlet插件实现。我们描述了当前实现的架构组件和浏览功能,并提出了一个水科学用例,其中用户能够共享文档、原始传感器数据流和派生的虚拟传感器数据(降雨),这些数据来自同一语义资源库中的分布式来源。
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Beyond the Document Library: Portal-Based Browsing and Exploration of Community Data Clouds
Every modern portal ships with some form of internal document library portlet tools that can be used to enable groups to share files. Unfortunately, certain limitations -- that the portlet can only view data managed directly by the portal and that document and data files are the only resource that can be browsed -- make these tools less valuable in many real-world collaborations. This paper describes a semantically-enhanced scientific resource library portlet that extends the traditional document library to enable interaction with multiple distributed repositories in the cloud and to broaden the set of resources that can be viewed beyond simple hierarchical document folder-files structure to include people, sensors, data streams and other complex digital entities and their relationships. Our technology is based on semantic content abstraction and context aggregation functionality supported by Tupelo, a semantic content middleware and is implemented as a portlet plugin to the Liferay-based CyberCollaboratory portal. We describe the architecture components and the browsing features currently implemented and present a water science use case in which users are able to share documents, raw sensor data streams, and derived virtual sensor data (rainfall) from distributed sources within the same semantic resource library.
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