Information query method and system

Abstract

The invention relates to the technical field of information query and discloses an information query method and system. The method comprises the steps of obtaining a database which is provided by a user and comprises personalized information entries of the user; extending the personalized information entries on the basis of a pre-constructed basic grammar extended model used for describing extending rules of personalized information, and generating extending information corresponding to the database; and after receiving user's query information on the database, querying the extending information corresponding to the database, and obtaining query results corresponding to the query information. The information query method and system can improve matching degree of diversity query and meet user's requirements of free query.

Description

technical field [0001] The invention relates to the technical field of information query, in particular to an information query method and system. Background technique [0002] With the rapid development of mobile communication equipment, mobile phones are playing an increasingly important role in people's daily life, and they are responsible for communicating with relatives, friends, colleagues and partners. Due to the existence of a large number of contacts, the user first needs to edit and enter the contact information according to personal habits, and then obtain the corresponding number through the contact query when necessary, and implement operations such as phone calls and text messages. Fast, efficient and accurate query of contact information is a necessary requirement for mobile applications. [0003] When querying contact information, traditional systems usually use the method of full string matching or substring matching. In the exact string matching method, t...

AI Technical Summary

Problems solved by technology

The diversity of contact composition patterns makes it difficult for users to remember exactly how each entry is written, resulting in an incomplete match between the entered query name and the entry in the address book, or even a substring of the target entry

For example, the contact entered in the address book is "Zhang Kai (Xunfei)", and the user enters the query content as "Xunfei Zhang Kai", no matter whether it is a complete match or a partial match, the correct contact information cannot be obtained

Another example is that the entry entered in the address book is "President Wang Zhiguo", but the user input query content is "President Wang", and the corresponding result cannot be obtained

Obviously, under the conditions of diversified user queries, the traditional method based on string matching cannot meet the application requirements

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