Product service model generating system based on study type web ontology language (OWL) modeling

Abstract

The invention discloses a product service model generating system based on study type web ontology language (OWL) modeling and is characterized by comprising a manual processing module, an inverted index library building module and an OWL model comparison module. The manual processing module builds an OWL knowledge module of product service information materials to serve as a seed module in a manual operation mode. The inverted index library building module collects product service information from the Internet and coverts the product service information into an OWL body example, and products serve as a body element of the OWL body example to build an inverted index data base of the products. The OWL module comparison module compares the seed module with the products in the inverted index data base, and supplements properties of the same product service materials to the seed module to improve the seed module. The product service model generating system combines manual intervention and automatic study so that the OWL modeling of the product service information materials is achieved, relevant information searched from the Internet is added automatically, and a solution idea with operability is provided for building a wide and complete product service material computer model.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to an OWL modeling system. Background technique [0002] Today, the Internet has penetrated into every corner of human society, and it can be predicted that it will play an increasingly important role in the development of human civilization. There are massive amounts of information on the Internet that can provide people with various business opportunities, such as product and service information; however, how to accurately obtain the information they need from these massive amounts of information and build a rich model library for retrieval and analysis is currently a difficulty. [0003] It is the direction of future development for computers to understand the Internet so that they can select appropriate information from massive amounts of information more intelligently to serve human beings. In order to achieve this goal, people have made many attempts. For exampl...

AI Technical Summary

Problems solved by technology

There are massive amounts of information on the Internet, which can provide people with various business opportunities, such as product and service information; however, how to accurately obtain the information they need from these massive amounts of information, and build a rich model library for retrieval and analysis is the current difficulty

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