Normalizing Chinese Address for Internet Applications

Many Internet applications take addresses as input. However, addresses on the Internet are always non-normalized, which cannot be used directly. In this paper, we propose an Administrative Divisions Extracting Algorithm to normalize Chinese addresses on the Internet. Our approach proceeds as follows: 1) It began with the “Road” feature words processing and extracted all possible administrative divisions data set from Chinese addresses by using administrative divisions dictionary and Moving Window Algorithm. 2) According to the Chinese administrative divisions has the characteristics of hierarchical relationships between elements, the algorithm established the conditions set operations rules of administrative divisions, it carried on the set operations to administrative divisions data set. 3) The algorithm obtained Chinese address administrative divisions of the most integrity. In order to investigate the feasibility and effectiveness of our approach, we performed experiments that the paper verified the availability of whether to adopt the “road” feature words processing for about 250 thousands Chinese address data extracted from the internet. At the same time, the algorithm compared with the current address matching technology. Experimental results show that the accuracy reached 93.51%. Introduction In the Internet location-based services, location can have a variety of forms of expression, Chinese text expression is one of them, and users can through the Chinese address information to obtain the exact address they want, which is better for improving the quality of service. With geographic information systems playing more and more important role in people's lives, the demand of quickly and accurately find the geographical coordinates according to the Chinese text of address information has become increasingly apparent [1]. A specification of Chinese address should contains full of administrative divisions, and in accordance with administrative divisions (province/city/county/town/village), road street, number, building, and the order of the households room to express[2], it has obvious features of the word. However, on the Internet, Chinese address frequently used address non-normative way to describe the Administrative Division, expressed confusion and ambiguity, it is difficult to determine the location of the address expression, as the location is not a valid [3]. Therefore, ordinary Chinese address segmentation algorithm could not be a good solution to handle issues of non-normalized Chinese address, there need research on an optimized algorithm of Chinese address analysis algorithm to resolve the nonnormalized address. Mixed in the non-normative information on the Internet, identifying the high credibility of the information users need becomes very necessary in today's geographic location information services [4]. Therefore the paper provides an administrative divisions extracting algorithm for non-normalized Chinese addresses. It dealt address data with "Road" feature word grouping processing. According to the Chinese administrative divisions has the characteristics of hierarchical relationships between elements, the algorithm established the conditions set operations rules of administrative divisions, it carried on the set operations to administrative divisions data set. The algorithm obtained Chinese address administrative divisions of the most integrity. It can effectively improve the speed and 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016) Copyright © 2016, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Computer Science Research, volume 50