Data Classification Module for Cross-Application Migration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The proliferation of data from various sources and applications leads to inefficiencies in data categorization and compatibility, requiring users to reenter information due to incompatible formats, making it difficult to search and migrate data across different applications.
Innovation Solution
A data classification module that extracts identifying information from diverse applications, organizes it into a searchable repository, and migrates data between applications without conversion, using a translation engine, application interface, and database interface to maintain compatibility and facilitate seamless data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If data from different applications is grouped together based on relation to a person or entity, then data organization is improved, but users must view data in each separate application to determine the nature and subject of the data, increasing operation complexity
Solution Approach 1:
The patent introduces a data classification module as an intermediary component that sits between multiple applications and users. This module extracts identifying information from data in different applications, classifies it according to entities or persons, and presents organized results to users without requiring them to access each separate application. The classification module mediates the interaction between diverse data sources and user needs, resolving the contradiction between data organization and accessibility.
2Adaptability or versatility
If different types of applications maintain data in different formats, then each application can optimize its data structure, but users are required to reenter information because the formats are incompatible, increasing time consumption
Solution Approach 1:
The patent extracts identifying information from data in various application formats without requiring conversion of the entire data structure. The classification module takes out only the essential identifying elements needed for classification and organization, leaving the original application-specific data structures intact. This extraction approach maintains application versatility while eliminating the need for users to reenter information across different formats.
3Adaptability or versatility
If application of the same type maintains data in different formats, then each application can have its own format preferences, but the applications lack the ability to convert information, reducing system compatibility
Solution Approach 1:
The data classification module serves as a universal interface that can handle data from multiple applications of the same type, each with their own format preferences. It extracts and classifies identifying information from various formats without requiring conversion between them, making the system compatible across different applications while preserving each application's format autonomy. The classification module becomes a multi-functional bridge that unifies access to diverse data sources.
Data Source
AI summary
A data classification module is configured to retrieve information from the repository and migrate the information into applications. The data classification module is configured to receive a request to migrate information and data from the repository into an application. The request can include the type of application and the type of information and data requested. The application can be an new application or an existing application. In order to locate information and data to migrate, the data classification module is configured to maintain rules that describe how the various applications maintain data and information.