Abstract
Our paper discusses the potential use of Web Content Mining techniques for gathering scientific social information from the homepages of researchers. We will introduce our system which seeks affiliation, position, start year, end year information tuples on these homepages along with preliminary experimental results. We believe that the lessons learnt from these experiments may be useful for further scientific social web mining.
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