基于关联数据的图书馆信息挖掘与揭示

The Information Mining and Revelation of Library Based on the Linked Data

关联数据是将超文本链接转变为超数据链接,其实质是以RDF形式提供有用的信息,尽可能提供链接指向其它URI,使人们发现更多的相关知识。关联数据具备的统一、标准、定位精确的特点为图书馆信息挖掘提供了又一新的途径。文章从关联数据技术在图书馆信息挖掘与揭示中的影响机制分析入手,探讨了关联数据技术构建信息挖掘的优势,通过对文献标题、作者、关键词等内容的提取,利用关联数据自身携带的大量URI链接将相关领域的研究信息及数据集进行关联的实际应用来展示其可行性,有效地解决了现有匹配方法中信息关联范围小、准确率低、噪音多等问题,为信息挖掘与揭示提供了新的思路与方法,并对该方法的后续研究提供了新的研究范畴。

Linked data transforms hypertext links to hyperdata links which essence is to provide useful information in the form of RDF and links that point to other URI to enable people to find more relevant knowledge. The unified, standard and accurate positioning of the linked data provide a new way for library information mining. This paper starts with the analysis of the influence mechanism of the linked data technology in the information mining and revealing of the library, then discusses the advantages of information mining based on linked data technology, next, through extracting the contents of the document title, author, keywords, etc. and using lots of URI links carried by linked data to make a relation between the related fields of research information and data set to show its feasibility which effectively solves the problems of low correlation range, low accuracy and high noise etc. in the existing matching method, and proposes a new way of thought and method for information mining and revealing, and finally provides a new research category for the following research of this method.