Method and system for constructing ontology base in mobile application

Abstract

The invention provides a method for constructing an ontology base in mobile application, which comprises the following steps of: respectively carrying out matching on titles and introduction texts in mobile application in a database in a pre-generated concept tag set and a pre-generated attribute tag set and distributing weight values to matched concept tags and attribute tags; according to the concept tags of which the weight values are sorted from high to low, acquiring a concept tag path from a pre-generated concept tag tree; according to the concept tags in the concept tag path, inquiring an incidence relation of the pre-generated concept tags and the pre-generated attribute tags so as to obtain the attribute tags; and labeling the mobile application by utilizing the acquired concept tag path and the related attribute tags. The invention also provides a system for constructing the ontology base in mobile application. According to the technical scheme provided by the invention, the concept tags and the attribute tags can be automatically and efficiently labeled for the mobile application.

Description

【Technical field】 [0001] The invention relates to the field of Internet applications, in particular to a method and system for constructing an ontology library for mobile applications. 【Background technique】 [0002] With the rapid development of mobile networks and smart terminals, the demand related to mobile applications (APP, Application) is also increasing, for example, retrieval of mobile applications, recommendation of mobile applications, etc. In order to meet the retrieval and recommendation requirements, the category information and introduction of mobile applications are currently stored in the database for the retrieval and recommendation of mobile applications. The category information of mobile applications is manually marked by operation and maintenance personnel. Therefore, mobile The information labeling of applications is completely dependent on manual labor. If the number of mobile applications is growing rapidly, if manual labeling is still used, it will ...

AI Technical Summary

Problems solved by technology

In order to meet the retrieval and recommendation requirements, the category information and introduction of mobile applications are currently stored in the database for the retrieval and recommendation of mobile applications. The category information of mobile applications is manually marked by operation and maintenance personnel. Therefore, mobile The information labeling of applications is completely dependent on manual labor. If the number of mobile applications is growing rapidly, if manual labeling is still used, it will bring a huge workload to the R&D personnel, consume a lot of manpower and material resources, and it will not be possible to carry out new mobile applications. Timely labeling is less efficient; in addition, the granularity of the category information of mobile applications is relatively rough at present, which cannot effectively describe the functional differences between mobile applications, nor can it describe the attribute characteristics of mobile applications

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