Abstract
Name ambiguity is a big problem in personal information retrieval, especially given the explosive growth of Web data. In this demonstration, we present a prototype Chinese Web People Search system, called CWePS. Given a personal name as query, CWePS collects the top results from the existing search engines, and groups these returned pages into several clusters. Ideally, the Webpages in the same cluster are related to the same namesake. Specially, we propose a multi-stage strategy to deal with the Chinese personal name disambiguation on the Web and extract some prominent key phrases to describe each namesake. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Yin, J., & Jiang, L. (2013). CWePS: Chinese web people search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7923 LNCS, pp. 792–795). Springer Verlag. https://doi.org/10.1007/978-3-642-38562-9_81
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