Tagging Interface for External Content Analysis
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Solution Overview
Problem
Existing data storage systems, such as flat files and relational databases, are poorly suited for data analysis due to their rigid structure, necessitating a method to reorganize data into an object model that defines object structures and relationships to facilitate efficient analysis.
Innovation Solution
A data fusion system that transforms data sources into an object model using an ontology and schema map, allowing for the creation and modification of object types, properties, and relationships, enabling efficient data analysis through tagging and visualization techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is stored in fixed rigidly structured data stores (flat files, relational databases), then data storage is organized and accessible, but data analysis efficiency deteriorates due to poor structural suitability
Solution Approach 1:
The patent implements a dynamic data structure that allows flexible creation and modification of object types, properties, and relationships without requiring rigid pre-defined schemas. The system can adapt its structure dynamically to suit different analysis needs, enabling efficient data analysis while maintaining organizational benefits.
Solution Approach 2:
The system allows parameters such as object types, properties, and relationships to be changed and customized based on specific analysis requirements. This flexibility enables the data structure to be optimized for different analytical tasks, improving data analysis efficiency without being constrained by fixed schemas.
2Productivity
If data is reorganized into an object model with defined object structures and relationships, then data analysis efficiency improves, but system complexity increases due to additional structuring requirements
Solution Approach 1:
The patent segments the data model into distinct object types, properties, and relationships that can be independently defined and managed. This segmentation allows for efficient data analysis by organizing information into meaningful units while keeping the overall system manageable through modular structure.
Solution Approach 2:
The object model framework is designed to be universal and multi-functional, capable of representing various types of data and relationships through a common structure. This universality reduces system complexity by providing a unified approach to data organization that can handle diverse analytical requirements.
3Productivity
If tagging is used to create objects and properties in structured or unstructured data, then data structure and analysis capability improve, but ease of operation deteriorates due to additional tagging steps
Solution Approach 1:
The system incorporates automated tagging capabilities that can independently identify and assign objects, properties, and relationships to data elements. This self-service approach reduces the manual effort required for tagging while maintaining improved data structure and analysis capability.
Solution Approach 2:
The system performs preliminary organization and tagging of data during the data ingestion phase, preparing the data structure in advance for analysis. This preliminary action reduces the operational burden during subsequent analysis tasks by having the tagging framework already in place.
Data Source
AI summary
Computer-implemented systems and methods are disclosed for providing a graphical user interface for tagging external content. In accordance with some embodiments, a method is provided for tagging content external to a database system. The method comprises accessing the external content of an electronic device. The method may comprise enhancing the web browser by providing a tagging interface for tagging at least a portion of the external content. The method may further comprise receiving created tag associated with a tagged portion of the external document content, and exporting the external content and the received tag to the database system. The tagging interface can also provide an option to export the created tag to an internal database system.