Aspects of Broad Folksonomies

Aspects of Broad Folksonomies
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广泛的民间分类法的各个方面

DOI:
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发表时间:
2007
期刊:
International Conference on Database and Expert Systems Applications
影响因子:
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通讯作者:
Roman Kern
Roman Kern
中科院分区:
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文献类型:
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作者:
M. Lux;M. Granitzer;Roman Kern

文献摘要

被引文献

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大众分类法,协作创建的元数据集,在组织网络中社区的信息和知识方面变得越来越重要。虽然对于单个用户来说,关键字分配的差异是微不足道的,但大众分类法的力量来自协作方面。民间经济学已经成为一个研究课题。在本出版物中,我们分析了广泛的大众分类法的基本统计特性,旨在确定法律和特点,这使得推断属性的大众分类法为基础的检索。从del.icio.us1的聚合数据的实验得出的结论,大众分类法检索和派生方法的实际好处。
Folksonomies, collaboratively created sets of metadata, are becoming more and more important for organising information and knowledge of communites in the Web. While for a single user the difference to keyword assignment is marginal, the power of folksonomies emerges from the collaborative aspects. Folksonomies are already issue of research. Within this publication we analyse underlying statistical properties of broad folksonomies aiming to identify laws and characteristics, which allow inferring properties for folksonomy based retrieval. The actual benefit of folksonomies for retrieval and the derived methods are concluded from experiments with aggregated data from del.icio.us1.