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Big Data in the Library: Extending Modern Library Catalogues with Data Visualization, Linking and Mining

机译:库中的大数据:扩展现代库目录,具有数据可视化,链接和挖掘

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Academic Libraries facing the same Big Data challenges as those existed in the Web. The library authority has to address issues as how to apply easy Google-like search in their catalogue, how to interpolate their data with other data repositories and how to store and mine their data efficiently. This talk will present several projects in the field and discuss the challenges in the scope of big data capabilities and library cataloguing features. The VisFacet project deals with topic mapping and present a facet Visualization Module we have integrated in the library Catalogue. The LinkedData project is a backend system we have developed to enrich library catalogue searches as well as allow other sites to enjoy our collections. Another project deals with catalogue search log data mining.
机译:学术图书馆面临与网络中存在相同的大数据挑战。 图书馆授权必须解决如何在其目录中应用简单的谷歌搜索的问题,如何使用其他数据存储库和如何有效地存储和挖掘其数据。 此谈话将在该领域提出几个项目,并讨论大数据能力范围和图书馆编目特征的挑战。 Visfacet项目处理主题映射,并呈现我们集成在图书馆目录中的方面可视化模块。 LinkedData项目是我们开发的后端系统,以丰富图书馆目录搜索以及允许其他网站享受我们的集合。 另一个项目处理目录搜索日志数据挖掘。

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