Researcher affiliation extraction from homepages
نویسندگان
چکیده
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.
منابع مشابه
Extracting Researcher Metadata with Labeled Features
Professional homepages of researchers contain metadata that provides crucial evidence in several digital library tasks such as academic network extraction, record linkage and expertise search. Due to inherent diversity in values for certain metadata fields (e.g., affiliation) supervised algorithms require a large number of labeled examples for accurately identifying values for these fields. We ...
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