Chinese Geographic Entity Resolution Based on Markov Logic Network
HU Yi-Min1,2,SONG Liang-Tu 1,2 ,CHEN Peng1,2,WEI Yuan-Yuan1 ,SU Ya-Ru 1,2
1.Research Center for Intelligent Information Systems,Institute of Intelligent Machines,Chinese Academy of Science,Hefei 230031 2.School of Information Science and Technology,University of Science and Technology of China,Hefei 230026
Abstract Markov Logic Network has the ability to handling the complex representation and the uncertainty of first-order logic and probabilistic graphical models. An entity resolution method based on Markov logic network and property extraction algorithm employing ontology and web search is proposed to improve the performance of named entity resolution for unstructured data based on Markov logic network. The method is then applied to the resolution of Chinese geographic names. The experimental result shows that the proposed method is effective in geographic entity resolution.
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2013, Vol. 26 
