EFS: Expert Finding System based on Wikipedia link pattern analysis

Building an expert finding system is very important for many applications especially in the academic environment. Previous work uses e-mails or Web pages as corpus to analyze the expertise for each expert. In this paper, we present an Expert Finding System, abbreviated as EFS to build experts' profiles by using their journal publications. For a given proposal, the EFS first looks up the Wikipedia Web site to get relative link information, and then list and rank all associated experts by using those information. In our experiments, we use a real-world dataset which comprises of 882 people and 13,654 papers, and are categorized into 9 expertise domains. Our experimental results show that the EFS works well on several expertise domains like ldquoArtificial Intelligencerdquo and ldquoImage & Pattern Recognitionrdquo etc.