Dynamic Metadata Extraction for Flexible Data Analysis

Solution Overview

Problem

Existing data extraction technologies lack flexibility in providing meta data according to application requests, as they do not disclose a mechanism for adding or changing meta data upon request from the application side, limiting the flexibility of meta data provision.

Innovation Solution

A data extraction apparatus that includes a configuration data accumulation unit, a configuration data input unit, an application linkage unit, and a related data extraction unit, which manages and extracts relevant data based on application requests, allowing for flexible provision of meta data by accepting input and updating configuration information and extracting related data accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Stability of the object's composition

If a fixed meta data structure is used for data extraction, then system stability is improved, but adaptability to different application requests deteriorates

Engineering Contradiction:

Improvesystem stabilityVSAvoidadaptability to application requests

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic meta data structures that can be adjusted based on application requests. The system allows meta data items to be added, removed, or modified according to specific application needs, transforming the fixed structure into a dynamic one that adapts to different data extraction scenarios while maintaining system stability through controlled modification processes.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent enables changes to meta data parameters such as item names, data types, and extraction rules based on application requirements. By allowing parameter modifications in the meta data structure, the system can adapt to different application requests without compromising the overall system stability, as changes are made within a controlled framework.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If a rigid data extraction framework is implemented, then system reliability is improved, but flexibility in providing meta data deteriorates

Engineering Contradiction:

Improvesystem reliabilityVSAvoidflexibility in meta data provision

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent introduces dynamic capabilities to the data extraction framework, allowing meta data to be flexibly added, removed, or modified based on application requests. This dynamic approach maintains system reliability through structured processes while enabling the flexibility needed to provide customized meta data for different applications.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent creates a universal data extraction framework that can handle multiple application scenarios through a single flexible system. The framework is designed to accommodate various meta data requirements across different applications while maintaining consistent reliability standards, achieving multi-functionality without sacrificing reliability.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If existing meta data matching mechanisms are used, then processing efficiency is improved, but responsiveness to new application requirements deteriorates

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidresponsiveness to new requirements

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic meta data structures that can be adjusted based on application requests. The system allows meta data items to be added, removed, or modified according to specific application needs, transforming the fixed structure into a dynamic one that adapts to different data extraction scenarios while maintaining system stability through controlled modification processes.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent enables changes to meta data parameters such as item names, data types, and extraction rules based on application requirements. By allowing parameter modifications in the meta data structure, the system can adapt to different application requests without compromising the overall system stability, as changes are made within a controlled framework.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12141589B2Related data extraction apparatus, related data extraction system, related data extraction method, and related data extraction program

Publication Date: 2024.11.12 HITACHI LTD

AI summary

Meta data is provided flexibly according to an application A related data extraction apparatus for extracting related data which is given to data collected from a target system and is related to the data includes: a configuration data accumulation unit that manages configuration information of the target system; a configuration data input unit that accepts input of registration or update of the configuration information; an application linkage unit that accepts a request for the related data given to the data by an application for analyzing the data; and a related data extraction unit that extracts the related data from the configuration information on the basis of the request.