Lens:面向研究网络平台的多面浏览器

Richard Whaling, T. Malik, Ian T Foster
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引用次数: 3

摘要

研究网络平台,如VIVO和Profiles networking,为学术研究提供了一个信息基础设施,代表了研究和研究人员的信息——他们的学术工作、研究兴趣和组织关系。这些平台是面向学术的开放信息基础设施,由链接的开放数据和开源软件工具组成,用于管理和可视化学术信息。由于基于RDF,分面浏览是导航此类数据的自然技术,它将学术信息空间划分为正交的概念维。然而,到目前为止,这项技术只是通过研究网络平台中的有限查询进行了探索——例如,不允许在RDF数据上进行基于全图的导航。在本文中,我们为Lens提供了一个客户端用户界面,用于学术RDF数据的分面导航。Lens是基于Exhibit的,Exhibit是一个轻量级的结构化数据发布框架,但是它扩展了Exhibit,用于表达类似sparql的查询,并扩展了Exhibit,用于导航大量RDF数据。Lens在VIVO本体中消耗数据,VIVO本体是研究人员网络系统的事实上的模式。我们展示了Lens如何为研究网络平台提供比当前的多面浏览器更好的可用性。
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Lens: A Faceted Browser for Research Networking Platforms
Research networking platforms, such as VIVO and Profiles Networking provide an information infrastructure for scholarship, representing information about research and researchers-their scholarly works, research interests, and organizational relationships. These platforms are open information infrastructures for scholarship, consisting of linked open data and open-source software tools for managing and visualizing scholarly information. Being RDF based, faceted browsing is a natural technique for navigating such data, partitioning the scholarly information space into orthogonal conceptual dimensions. However, this technique has so far been explored through limited queries in research networking platforms-not allowing for instance full graph based navigation on RDF data. In this paper we present Lens a client-side user interface for faceted navigation of scholarly RDF data. Lens is based on Exhibit, which is a lightweight structured data-publishing framework, but extends Exhibit for expressive SPARQL-like queries and scales it up for navigating amounts of RDF data. Lens consumes data in VIVO ontology, the de facto schema for researcher networking systems. We show how Lens provides better usability over current faceted browsers for research networking platforms.
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