Address matching method based on semantic recognition

Abstract

The invention discloses an address matching method based on semantic recognition. The method uses an address matching engine and a log analysis engine. The address matching engine comprises an administrative division semantic module, a place name class semantic module, a standard address module, a semantic rule module, a Chinese word segmentation module, a semantic recognition module, and a search module. According to the method, matching addresses are quickly and accurately searched through semantic recognition according to user-entered addresses under research, search results are returned to uses in the form of online services, the log analysis engine records, analyzes and searches logs, and the address matching engine is optimized according to the log analysis results.

Description

Technical field [0001] The invention belongs to the technical field of earth observation and navigation, and specifically relates to an address matching method based on semantic recognition. Background technique [0002] Address retrieval and query services are important functions of online map services. Address matching is the process of establishing a correspondence between a textual description address and its spatial geographic coordinates. Its purpose is to quickly find the matching address based on the user's input to be searched address, and return the user search result in the form of an online service . Traditional methods usually use keyword-based exact or fuzzy matching methods. For large-scale or large-scale geographical name address data, not only the search speed is slow, but it is difficult to meet the needs of fast online services on the network map, and it does not take into account the semantics of the address. Information, the accuracy of the search is relati...

AI Technical Summary

Problems solved by technology

Traditional methods usually use exact or fuzzy matching methods based on keywords. For large-scale or large-scale place name address data, not only the search speed is slow, it is difficult to meet the needs of online fast service of network maps, and the semantics of addresses are not taken into account. information, resulting in relatively low search accuracy, search results are diverse and often not the results users need

For example, when a user searches for "Shanghai Nanjing Road" on the Internet, the expected return result should be a road named Nanjing Road located in Shanghai, but ordinary search methods may use both Shanghai Road in Nanjing and Nanjing Road in Shanghai as result return

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