Keyword searching method facing to relational database of power production management system

Abstract

The invention provides a keyword searching method facing to a relationship database of a power production management system. The keyword searching method comprises the following steps of: positioning a relational table according to keywords; specifying the query process according to a service dictionary; taking the keywords as central query data; expanding a query mode according to a service rule; and returning the query result. According to the keyword searching method, different relational tables of a service database can be effectively correlated, the global data query is realized by combining service knowledge with the process specification and the complexity of service data query is reduced, so that users can acquire the required search results quickly and conveniently.

Description

technical field [0001] The invention belongs to the technical field of electric power information, and in particular relates to a keyword search method for relational databases of electric power production management systems. Background technique [0002] Keyword-based search engines are currently the main way of information retrieval. Existing Internet search engines mainly index static web pages, while enterprise-level search engines focus more on the retrieval of unstructured data such as documents, videos, and images. . For power applications, both structured data and unstructured text are often required, and the fusion of the two types of information has become a core issue. At present, the retrieval of the two types of information is realized by using relational database and keyword query technology respectively, and there is no organic integration yet. The key to solving this problem is to find an efficient information query method, so as to realize the free query o...

AI Technical Summary

Problems solved by technology

[0008] 1) In the case of high real-time requirements, the search engine needs to analyze the relationship between the keywords entered by the user and the database query language from the database schema, and provide online data query, but the complexity of the database schema leads to low query efficiency;

[0009] 2) In occasions with low real-time requirements, the existing solutions organize and store the records in the database through data collection, but the rapid expansion of the scale of data records leads to low efficiency of data storage and analysis;

[0010] 3) Existing search result sorting generally uses IR index or inherits the PageRank algorithm of traditional search engines, but whether this kind of sorting mechanism is suitable for database search is still inconclusive

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