Computer auxiliary report and knowledge base generation method

Abstract

The invention relates to a computer assistant reporting and knowledge-base generation method including the following steps: a server system receives requests of information search from users and searches all structured and unstructured web pages and websites matching the search requirements of users on the internet and a third-party database and also feeds the search results back to a client digital terminal system after classification, de-emphasis and compilation while matching the third-party database; the server system records the search behavior of a user and detects the updating of information resource and catches and classifies the updated information in real time so as to remind the user of the updating of the information resource when the user goes on line; the user selects the required information from the search results and collects the information into the system and the knowledge mining method is adopted to generate reports and derive files. The invention has the beneficial effects that the efficiency of searching, collecting and classifying the information is enhanced for the user, and the unstructured information can be converted into structured information and the semantic relevance between information can be preserved by human-computer interaction.

Description

technical field [0001] The invention relates to a method for collecting and deriving computer information, in particular to a method for generating computer-aided reports and knowledge bases. Background technique [0002] With the increasingly fierce market competition and the continuous growth of the knowledge economy, many companies, especially large group companies, are increasingly aware of the importance of intelligence quality and information freshness, and realize the systematic collection and arrangement of market intelligence, real-time monitoring, Industry analysis plays a crucial and indispensable role in the business development of the enterprise itself and in the business support of its subsidiaries and sub-groups. In general, large-scale enterprises have many types of business, and the workload of network intelligence collection is very heavy. Traditional manual collection is nothing more than assigning specific collectors to conduct network searches, and the c...

AI Technical Summary

Problems solved by technology

However, they are all limited to data mining with structured databases as the core. In practical applications, systems and software need to convert some non-quantified information into data that can be calculated by machines. The correlation between the information is discarded, resulting in inaccurate and incomplete analysis results

Moreover, business intelligence systems and software have high requirements on the knowledge level of users and cannot be widely used by general intelligence collectors. Therefore, the current business intelligence systems and software cannot well solve the problems of intelligence collection and generation.

Images