首页> 外文会议>The Semantic Web - ASWC 2006; Lecture Notes in Computer Science; 4185 >Experimental Study of Semantic Contents Mining on Intra-university Enterprise Contents Management System for Knowledge Sharing
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Experimental Study of Semantic Contents Mining on Intra-university Enterprise Contents Management System for Knowledge Sharing

机译:高校内部企业知识共享管理系统中语义内容挖掘的实验研究

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We developed an Enterprise Contents Management System for an academic domain. The main feature of this system is its function for focusing searches in Web documents, utilizing human names and locations appearing in the documents as the search context. To realize this function, we adopted a standard text-mining algorithm for extracting proper nouns. We conducted an experimental study of this system against the existing digital contents of our university, and succeeded in efficiently obtaining suitable contents along the given contexts, which were obtained through previous searches. This experiment also suggested that our approach solves the general problem of finding an appropriate set of key words in a Web search. By performing this experiment, we confirmed that context mining is one of the most important technologies to be further developed in our effort to promote knowledge circulation through digital contents.
机译:我们为学术领域开发了企业内容管理系统。该系统的主要特征是它的功能是将Web文档中的搜索集中起来,利用文档中出现的人名和位置作为搜索上下文。为了实现此功能,我们采用了标准的文本挖掘算法来提取专有名词。我们针对我们大学现有的数字内容对该系统进行了实验研究,并成功地在给定的上下文中有效地获取了合适的内容,这些内容是通过先前的搜索获得的。该实验还表明,我们的方法解决了在Web搜索中找到合适的关键字集的一般问题。通过执行此实验,我们证实了上下文挖掘是我们通过数字内容促进知识传播的努力中最重要的技术之一。

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