An intelligent query system and method based on an iron and steel industry data platform

Abstract

The invention provides an intelligent query system and method based on an iron and steel industry data platform, which can greatly save data search time of a user, reduce data use cost, enable the user to directly express requirements, meet data requirements of different types of users, and improve data use efficiency and experience of the user. The data content is stored in a background management warehouse, the data can be obtained in real time through voice search and a semantic processing engine and can be visually presented in various styles of characters or a combination chart, and the flexibility and the applicability in content presentation are higher; the newly-added data content does not need to be redesigned, laid out and developed on the page, development efficiency is greatlyimproved, and development cost is saved.

Description

technical field [0001] The invention relates to the technical field of information query, in particular to an intelligent query system and method based on a steel industry data platform. Background technique [0002] With the acceleration of the global informatization process, there are more and more information on the network, and the requirements for information query methods are also getting higher and higher. At present, most of the query methods are full-text query technology based on keyword matching, and the query results often appear to be incomplete and not answer the question. Semantic query overcomes the shortcomings of mechanical text matching limited to superficial forms, analyzes and processes user query requests from the semantic level expressed by network (Web) resource information, and improves information query from the current level based on keywords to based on At the level of knowledge (or concept), there is a certain ability to understand and process k...

AI Technical Summary

Problems solved by technology

[0003] Current query techniques for the Semantic Web focus on the description of static information and fail to take into account the handling of dynamic and changing content

At the same time, the current data information is seriously oversupplied, and more accurate information that meets the needs is submerged in the infinite ocean of information. Data analysts need various data for analysis and judgment, and it is impossible to find accurate information efficiently in the ocean of information data. The data information, so that the cost of accurate data usage is further increased, affecting the efficiency of decision-making and analysis

[0004] Furthermore, existing mobile data products are often limited by page restrictions. The main interface can only display some core data, and other data needs to be displayed layer by layer through hierarchical design.

For new users, this design method requires long links and high costs to find the required data; in addition, if you want to add new data display, you need to redesign and develop the page layout, and the development cost is high

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