Knowledge Base Creation Through Staged Data Import And Indexing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for creating and invoking knowledge bases are inefficient, affecting the creation and access efficiency of information.
Innovation Solution
A method and apparatus for creating a knowledge base by presenting configuration pages to receive configuration information and data source configurations, followed by data import and index settings, enabling the creation of a knowledge base of a target type based on index settings information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing methods for creating knowledge bases are used, then the process can be completed, but the creation efficiency and access efficiency are unsatisfactory
Solution Approach 1:
The knowledge base creation process is segmented into distinct configuration areas (first configuration area for target type, second configuration area for data source, third configuration area for index settings). This segmentation allows users to configure different aspects independently, improving both creation efficiency through structured guidance and access efficiency through optimized organization of the resulting knowledge base.
Solution Approach 2:
The system performs preliminary actions by automatically importing data from the configured data source into the knowledge base before the user finalizes the creation process. This automated data import and preliminary indexing reduces manual effort and accelerates the creation efficiency, while the pre-organized structure improves subsequent access efficiency.
2Adaptability or versatility
If manual configuration of knowledge base parameters is performed, then flexibility is maintained, but the creation process becomes time-consuming
Solution Approach 1:
The configuration interface provides different levels of detail and automation in different configuration areas. The first configuration area offers multiple target types with specific options, the second area adapts to different data sources, and the third area provides customized index settings. This local quality approach maintains configuration flexibility where needed while reducing time investment through guided defaults and automated processing in each specific area.
Solution Approach 2:
The system enables self-service by automatically performing data import and index creation based on user configurations. Once users select their preferences in the configuration areas, the system autonomously completes the data import process and generates the knowledge base structure, significantly reducing creation time while preserving the flexibility of user-selected parameters.
3Ease of operation
If comprehensive index settings are configured, then data access efficiency improves, but the configuration complexity increases
Solution Approach 1:
Index settings are segmented into the third configuration area, separated from other knowledge base parameters. This segmentation presents index configuration as a distinct, manageable step after data import, reducing perceived complexity. Users can focus on access efficiency requirements without being overwhelmed by the entire knowledge base configuration at once, while still achieving comprehensive indexing for improved data access efficiency.
Data Source
AI summary
Embodiments relate to information processing, including: in response to receiving a creation request, presenting a configuration page for receiving configuration information of a knowledge base, the configuration page comprising: a first configuration area to receive a configuration of a target type of the knowledge base from a plurality of data types, and a second configuration area to receive a configuration of a target data source of the knowledge base; in response to receiving the configurations of the target type and the target data source, importing data of the target type from the target data source into the knowledge base; in response to completing the importing the data, presenting an index settings page corresponding to the target type to receive index settings information for the imported data; and in response to receiving the index settings information, creating the knowledge base of the target type based on the index settings information.