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摘要:
With the rapid development of Web2.0 technology,more and more social annotation systems are emerging,such as Del.icio.us,Flickr,YouTube,and CiteULike.These systems help users to manage and share their digital resources,and have attracted a lot of users to annotate the resources with tags and bookmarks,which result in a large scale of tag data.Due to the exponential increase of social annotations,all the users are facing the same problem:How can we explore the desired resources efficiently in such a large tag dataset?Since the traditional methods such as tag cloud view and annotation match work well only in small annotation dataset,this paper studies the relationships of tag-tag,tag-resource and resource-resource through the co-occurrences and proposes a new efficient way for users to organize and explore the literature resources.Our research mainly focuses on two aspects:1)The hidden semantic relationships of popular tags and their relevant literature resources;2)the computing of literature resources similarity given a specific literature.A prototype system named PKUSpace is implemented and shows promising results.
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篇名 A Tag-based way of organizing and exploring literature resources in Web 2.0 environment
来源期刊 中国文献情报:英文版 学科 社会科学
关键词 Web2.0 TAG Social ANNOTATION tool SEMANTIC relatio
年,卷(期) 2008,(1) 所属期刊栏目
研究方向 页码范围 52-64
页数 13页 分类号 G250.7
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Web2.0
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Social
ANNOTATION
tool
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relatio
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数据与情报科学学报:英文版
季刊
2096-157X
10-1394/G2
北京市中关村北四环西路33号
82-563
出版文献量(篇)
445
总下载数(次)
1
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0
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