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 re...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.展开更多
社会化标签兴起后,其与本体的关联研究越来越受到国内外研究者的关注。基于Web of Science的检索数据,使用CiteSpace软件,从作者及国家、共被引文献及突现词等角度对本体与社会化标签关联研究的现状进行可视化分析。从研究人员及国家来...社会化标签兴起后,其与本体的关联研究越来越受到国内外研究者的关注。基于Web of Science的检索数据,使用CiteSpace软件,从作者及国家、共被引文献及突现词等角度对本体与社会化标签关联研究的现状进行可视化分析。从研究人员及国家来看,研究人员的合作程度较高,但是团体间的合作较少,另外,美国、德国、中国和澳大利亚的研究较多,且研究较早;从研究热点的发展来看,本体和社会化标签的关联研究由其与知识共享、与语义网及元数据的研究转变而来。在2008年后产生了多个研究热点,其中研究得最多的是用户生成内容、标签本体和标签推荐。展开更多
基金supported by the Specialized Research Fund for the Doctoral Program of Higher Education(Grant No.20070001073)the National Natural Science Foundation of China(Grant Nos.90412010 and60773162)
文摘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.
文摘社会化标签兴起后,其与本体的关联研究越来越受到国内外研究者的关注。基于Web of Science的检索数据,使用CiteSpace软件,从作者及国家、共被引文献及突现词等角度对本体与社会化标签关联研究的现状进行可视化分析。从研究人员及国家来看,研究人员的合作程度较高,但是团体间的合作较少,另外,美国、德国、中国和澳大利亚的研究较多,且研究较早;从研究热点的发展来看,本体和社会化标签的关联研究由其与知识共享、与语义网及元数据的研究转变而来。在2008年后产生了多个研究热点,其中研究得最多的是用户生成内容、标签本体和标签推荐。
