Automatic Mining of Topics and Communities for Browsing in Web2.0
Date Issued
2009
Date
2009
Author(s)
Chang, Han-wen
Abstract
The two main differences between web 1.0 and web 2.0 environments are:1) author space and (2) tagging .Hence, the ways of searching in web 1.0 or web 2.0 environments are not necessarily the same. In web 2.0 environments there are some limitation which the searches may pose:1). Previous Web 2.0 search focuses on documents search,2). documents and people will not be found if they don’t have the same tags to the query,and 3). the communities clustered by the tags belong to topical community instead of social community.n this paper we have proposed a framework to handle such restriction, and a system is thus built for web 2.0 searching and browsing. Our system has the abilities to do the followings in the social networks:1). Retrieving documents and people.(2). Mining topics and communities.(3). Labeling the topics and communities.(4). Enabling the users to browse among documents, people, topics, communities and tags.ue to the mined information and hyperlinks through which the users can browse, the user''s comprehension among the structures of the social are extended; the proposed system presents a way of surfing the social networks where the users may have never experienced before.n the experiments we have evaluated the framework on the data sets crawled from SIGIR, SIGGRAPH, and SODA; we have found that our framework is effective in retrieving the documents and people from the social networks, and is able to improve the experiences and comprehension of the users when they browse through our system.
Subjects
web2.0
browsing
Type
thesis
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