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In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other generative models, in our model, the tag generation process is separated from the content term generation process. While content terms are only generated from resource topics,(More)
—Social tagging is a major characteristic of Web 2.0. A social tagging system can be modeled with a tripartite network of users, resources, and tags. In this paper, we investigate how to enhance Web clustering by leveraging the tripartite network of social tagging systems. We propose a clustering method called " Tripartite Clustering " which clusters the(More)
Social tagging, as a recent approach for creating metadata, has caught the attention of library and information science researchers. Many researchers recommend incorporating social tagging into the library environment and combining folksonomies with formal classification. However, some researchers are concerned with the quality issues of social annotation(More)
Resource Description & Access (RDA) is intended to provide a flexible and extensible framework that can accommodate all types of content and media within rapidly evolving digital environments while also maintaining compatibility with the Anglo-American Cataloguing Rules, 2nd edition (AACR2). The cataloging community is grappling with practical issues in(More)