首页> 外文会议>Association for Information Systems Americas conference on information systems;AMCIS 2003 >INFORMATION RETRIEVAL FROM KNOWLEDGEMANAGEMENT SYSTEMS: USING KNOWLEDGEHIERARCHIES TO OVERCOMEKEYWORD LIMITATIONS
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INFORMATION RETRIEVAL FROM KNOWLEDGEMANAGEMENT SYSTEMS: USING KNOWLEDGEHIERARCHIES TO OVERCOMEKEYWORD LIMITATIONS

机译:从知识管理系统中检索信息:使用知识层次结构来克服关键字限制

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Information retrieval (IR) is a key component of knowledge management systems (KMSs). KMSs frequentlyrely on keyword searches as a primary mechanism for retrieval. While keyword searches are very helpful toknowledge workers, they have their limitations. To illustrate some of the limitations of keyword searches, adatabase containing all of the articles that have appeared in MIS Quarterly was constructed. Prior researchshows that ambiguous, poorly constructed keyword phrases lead to poor information retrieval results.Knowledge hierarchies have been used to overcome some of the keyword searches limitations. This researchproposes the use of dimensional modeling and multidimensional database technologies to implement knowledgehierarchies. It suggests that many of the limitations inherent in keyword searches can be eliminated fromknowledge management systems by exploiting the benefits of the hierarchical structure that underliesmultidimensional databases.
机译:信息检索(IR)是知识管理系统(KMS)的关键组成部分。 KMS经常将关键字搜索作为检索的主要机制。尽管关键字搜索对知识型员工非常有帮助,但它们也有其局限性。为了说明关键字搜索的某些局限性,构建了一个数据库,其中包含《 MIS季刊》中出现的所有文章。先前的研究表明,模棱两可,构造不当的关键字短语会导致不良的信息检索结果。知识层次结构已用于克服某些关键字搜索限制。这项研究提出了使用维建模和多维数据库技术来实现知识层次的建议。它表明,通过利用多维数据库基础层级结构的好处,可以从知识管理系统中消除关键字搜索中固有的许多限制。

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