期刊名称：Bulletin of the American Society for Information Science
出版年度：2007
卷号：34
期号：1
出版社：American Society for Information Science and Technology
摘要：Social tagging systems, which allow large numbers of users to classify
items, are a fascinating subject. When I began planning for my
master’s thesis in the Information Architecture and Knowledge
Management Program at Kent State University, I knew I wanted to study
collaborative tagging and folksonomies. The next step, deciding on which
systems to study and how to study them, was more difficult.
Just a year or two earlier the task of narrowing down the types of
folksonomies to study would have been much easier. Now it seems as
though nearly every website invites users to tag articles, photos, videos and
merchandise with keywords. Folksonomies are no longer limited to cool
Web2.0 startups working out of their garages to change the way we think
about enterprise social wiki pet care. Amazon displays user tags on item
pages, IBM sells products that employ social tagging and Microsoft’s blogs
have tag clouds.
