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, as they lack the structure necessary for efficient data manipulation and visualization, prompting the need for reorganization into an object model that defines object structures and relationships.
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, and enables tagging of unstructured data to add structure, facilitating analysis through graphical interfaces and data 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 simple and reliable, but data analysis efficiency is poor due to lack of appropriate structure
Solution Approach 1:
The patent segments data into discrete taggable units within the structured data store, allowing selective organization of specific data elements rather than requiring complete structural reorganization. This enables partial structuring of data to improve analysis efficiency while maintaining the simplicity of the underlying storage system.
Solution Approach 2:
The patent adds a tagging dimension to the existing structured data, creating a hierarchical structure where tags provide an additional layer of organization without fundamentally changing the base data store structure. This allows data to be accessed and analyzed from multiple dimensional perspectives simultaneously.
2Adaptability or versatility
If data is reorganized into an object model with defined structures and relationships, then data analysis capability is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal tagging system that can be applied across different data types and structures within the structured data store. The same tagging mechanism works for various object types, relationships, and data formats, providing adaptable data analysis capability without requiring separate systems for different data kinds.
Solution Approach 2:
The patent introduces tags as intermediary elements that bridge the gap between the fixed structured data store and the flexible object model requirements. Tags serve as a mediating layer that enables object-oriented analysis capabilities while the underlying data remains stored in the original structured format.
3Ease of operation
If a tagging interface is provided for external content, then user ability to add structure to unstructured data is enhanced, but interface complexity increases
Solution Approach 1:
The tagging interface is designed to be self-explanatory and self-configuring, allowing users to automatically understand and apply tagging without extensive training or configuration. The interface presents tagging options in context, enabling users to add structure to external content intuitively while the system handles the complexity of tag management automatically.
Data Source
AI summary
Computer-implemented systems and methods are disclosed for providing a tagging 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 via a web browser of an electronic device. The method also comprises enhancing the web browser by providing a tagging interface for tagging at least a portion of the external content. The method further comprises 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.