People search using NDC classification system
Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval
How do humans distinguish different people with identical names on the web?
Proceedings of the 21st ACM international conference on Information and knowledge management
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Distinguishing people with identical names is becoming more and more important in searches on the Web. This research assigns useful labels to help users select person clusters that are separated into different people from the result of person searches on the Web. We proposed a method to label person clusters with vocation-related information (VRI). VRI includes broader terms that may not be considered vocations as well as terms that are useful to infer vocations, not only those rigorously defined as vocations. Our method is comprised of two processes: (a) extraction of VRI candidates using HTML structure and heuristics, and (b) VRI generation using term frequency, clustering synonyms, and calculation using a Web search engine. Experimental results revealed the usefulness of our proposed method.