Cleaning Your Wrong Google Scholar Entries

Entity categorization – the process of grouping entities into categories for some specific purpose – is an important problem with a great many applications, such as Google Scholar and Amazon products. Unfortunately, many real-world categories contain mis-categorized entities, such as publications in one’s Google Scholar page that are published by the others. We have proposed a general framework for a new research problem – discovering mis-categorized entities. In this demonstration, we have developed a Google Chrome extension, namely GSCleaner, as one important application of our studied problem. The attendees will have the opportunity to experience the following features: (1) mis-categorized entity discovery – The attendee can check mis-categorized entities on anyone’s Google Scholar page; and (2) Cleaning onsite – Any attendee can login and clean his Google Scholar page using GSCleaner. We describe our novel rule-based framework to discover mis-categorized entities. We also propose effective optimization techniques to apply the rules. Some empirical results show the effectiveness of GSCleaner on discovering mis-categorized entities. Keywords-mis-categorized entity; Google Scholar cleaner; rule-based framework; signature