MfWMA: A Novel Web Mining Architecture for Expert Discovery

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Data Management
Format: PDF
Identification of expert to domain knowledge in any field of interest is essential for consulting in industry, academia and scientific community. This paper is to address the expert-finding task in contemporary communities. The authors proposed Multifaceted Web Mining Architecture (MfWMA) and implemented a tool with data extracted from Growbag, dblpXML and web authors' home page resource to identify personnel with specific expertise. They mined two thousand and five hundred author's personal web pages with the underlying criteria of a dozen of key parameters; while parsing on each page in pursuit of 8 thousand topics.

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