Status: Past project

Project Description:

Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.

Examples of concrete problems we hope to be able to solve and issues we want to address are distinguishing blogs from non-blogs; recognizing spam blogs (splogs); recognizing comment spam and trackbacks; categorizing and clustering blogs; recommending blogs to people; modeling trust relationships in blog communities; and spotting trends in blog communities.

memeta's blog database is driven by a custom blog crawler that collects information on over six Million blogs.

Start Date: March 2005

End Date: December 2008

Principal Investigator:
Anupam Joshi

Students:
Akshay Java
Pranam Kolari

Collaborators:
James Mayfield
Tim Oates

Tags: blog, splog, learning, text mining

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Research Areas:
 Language technology
 Security, Trust and Privacy
 Semantic Web
 Web based information systems
 Web services