01537nas a2200169   4500008004100000245007800041210006900119260000900188300001400197490000600211520095100217653002801168653002801196100001401224700001201238856011701250       2010                        eng d00aFramework for mixed entity resolving system using unsupervised clustering0 aFramework for mixed entity resolving system using unsupervised c  c2010  a362 - 3680 v83 aDuring web search, confusion can happen due to homonym when users use non-unique values as a search term of an entity. Especially, when parts of names of an entity were used as its identifier, we call a mixed entity resolution problem whose goal is to clear out the erroneous entities. For example, if only last name is used as an identifier, we cannot distinguish "Vannessa Bush" from "George Bush." Mixed entity resolution problem is common among Web pages data. In this paper, to resolve aforementioned mixed entities on the Web, we propose a prototypical system which includes a web service based interface, unsupervised clustering scheme, and cluster ranking algorithms. In particular, since the correct number of clusters is often unknown, we study a state-of-the-art unsupervised clustering solution based on propagation of pairwise similarities of entities. Experimental results show that our approach outperforms main competing solution.10aMixed entity resolution10aUnsupervised clustering1 aOn, B.-W.1 aLee, I.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-79960657815&partnerID=40&md5=b7024f58cda537138350a05e3d88ac8c