Title :
Study on the standardized method of Chinese addresses based on expert system
Author :
Bin Gu ; Yanfeng Jin ; Chang Zhang
Author_Institution :
Shijiazhuang Posts & Telecommun. Tech. Coll., Shijiazhuang, China
fDate :
Oct. 30 2012-Nov. 1 2012
Abstract :
Structured text is the important substance for Chinese processing, including words dividing, drawing of the key words etc. which differs greatly from English. Among industry applications, Chinese phrases, especially the issues of address processing and standardization, need large number of experts´ experience, and the efficiency is very low. At the same time, this problem is the core problem based on address integration of customers´ data. Being the most important application field, Expert system contains a huge supply of knowledge in the field of expertise. Based on the analysis of structured address data method, a standardized method of addresses based on expert system was proposed in this paper. The method can process address error fuzzily and process the confused Chinese addresses into complete standardized addresses that are suitable for exact match, it also can achieve self-learning ability by updating knowledge base.
Keywords :
expert systems; natural language processing; text analysis; unsupervised learning; Chinese address standardized method; Chinese phrases; Chinese processing; English language; customer data integration; expert system; industry applications; key word drawing; knowledge base update; self-learning ability; structured address data method analysis; structured text; word division; Cities and towns; Expert systems; Floors; Standards; Writing; chinese words dividing; edit distance; expert system; keyword drawing; text mining;
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
DOI :
10.1109/CCIS.2012.6664585