Numerical Information Management Device with Cube Data Search
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Solution Overview
Problem
Existing information management systems face difficulties in searching, determining relationships, and utilizing numerical information effectively, particularly in providing search results in a user-friendly graphical format.
Innovation Solution
A numerical information management device that structures and manages numerical information in a single data structure, enabling searches through a DB with separate storage for cube data and metadata, and provides search results as graphs based on user-defined options, including general, correlation, and dimensional searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If general keyword search is used to manage information, then information can be stored and accessed, but numerical information cannot be effectively searched, relationships determined, or statistics utilized
Solution Approach 1:
The patent segments numerical information into structured data elements including time series data, spatial data, and attribute data. Each type is stored in dedicated fields within the patent data structure, enabling targeted search operations for each data type while maintaining overall system organization and avoiding the need for complex unstructured search algorithms.
Solution Approach 2:
The patent introduces multiple dimensional perspectives for searching numerical information: time dimension (temporal trends), space dimension (geographic distribution), and attribute dimension (categorical properties). This multi-dimensional approach transforms the search capability from simple keyword matching to comprehensive numerical analysis across different dimensions.
2Ease of operation
If numerical information is stored in unstructured format, then storage is simple, but search and relationship determination become difficult
Solution Approach 1:
The patent divides numerical information into distinct segmented fields: time series fields for temporal data, spatial fields for geographic information, and attribute fields for categorical properties. This segmentation enables efficient indexing and search operations on each field type independently, dramatically improving search efficiency while keeping data management organized through standardized field definitions.
Solution Approach 2:
The patent transforms unstructured numerical information into structured data with defined parameters and data types. Each numerical value is associated with specific parameters such as time stamps, coordinates, and category labels, which can be efficiently indexed and queried. This parameterization enables rapid search operations without requiring complex unstructured data processing.
3Measurement precision
If comprehensive numerical data is collected for analysis, then search accuracy improves, but data processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary structuring and indexing of numerical data during the data ingestion phase. Time series data is pre-organized by time intervals, spatial data is pre-indexed by geographic regions, and attribute data is pre-categorized. This preliminary action enables fast retrieval and accurate searching without requiring intensive processing during query execution, significantly reducing data processing time while maintaining high search accuracy.
Data Source
AI summary
The present invention relates to a numerical information management device enabling numerical information search according to a user's purpose. More particularly, the present invention relates to a numerical information management device enabling numerical information search comprising: a DB which separately stores cube data having a set row structure including at least one of a temporal viewpoint recording temporal information, spatial viewpoint recording spatial information, and a user viewpoint recording information other than the temporal information and the spatial information and a numerical value and metadata for analyzing the cube data and stores at least one graph template; a search unit receiving a search keyword and a search option; and a content providing unit which extracts metadata corresponding to the input search keyword and search option, extracts and analyzes the corresponding cube data using the extracted metadata, and generates and provides at least one graph.