Unified Data Classification Module for Cross-Application Search
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Solution Overview
Problem
The proliferation of data from various sources makes it difficult for users to efficiently search and categorize data across different applications, requiring a mechanism to uniformly classify and view data related to entities and persons.
Innovation Solution
A data classification module that extracts identifying information from diverse applications, organizes it into a searchable data structure, and stores it in a repository, allowing users to retrieve information through interactive cascading menus without needing to access each application separately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data from different applications is grouped under separate application-specific folders, then data organization follows application structure, but users must access each application separately to view data, increasing time and effort
Solution Approach 1:
The patent introduces a data classification module as an intermediary layer between multiple applications and the user. This module extracts identifying information from data across different applications, organizes it into a unified data structure based on entities and persons, and presents it through a single searchable interface. Users interact with the classification module rather than directly accessing multiple applications, eliminating the need to navigate through application-specific folders and reducing time to locate data.
2Adaptability or versatility
If a unified data classification system is implemented across multiple applications, then users can search and view data from all applications through a single interface, but the system complexity increases due to data extraction and organization requirements
Solution Approach 1:
The patent segments the data classification functionality into distinct modular components: a data extraction module that retrieves identifying information from various applications, a data organization module that structures the extracted information into a unified format based on entities and persons, and a search interface module that presents the organized data to users. This segmentation allows each component to be developed and maintained independently, reducing overall system complexity while achieving unified data access.
Solution Approach 2:
The data classification module is designed as a universal system that can handle data from multiple different applications through a single interface. It extracts identifying information regardless of the source application, organizes it into a standardized data structure, and provides search capabilities that work across all applications. This multi-functional design allows the system to adapt to various data sources without requiring separate classification mechanisms for each application.
Data Source
AI summary
A processing device retrieves data from a plurality of applications and extracts identifying information about each of the plurality of application from the data. The processing device organizes the identifying information into a data structure based on entities associated with the data and stores the data structure in a searchable repository, wherein the identifying information is located in the data structure by searching the searchable repository for the entities associated with the data. In response to a request from one of the plurality of applications, the processing device retrieves stored information from the searchable repository.