Semantic Tagging for Unified Data Navigation
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Solution Overview
Problem
Current search and navigation paradigms in data-driven applications fail to address heterogeneous data set structures cohesively, lacking a unified methodology to navigate multiple data types within a single user interface, relying on pre-configuration and a priori knowledge of data structure and relationships.
Innovation Solution
A semantically aware adaptive searching and navigation method that associates tags with data based on selected semantics, applying filter operations and keyword searches across structured and unstructured data, aggregating results for unified display in the user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If keyword search is applied to unstructured data, then flexibility in data discovery is improved, but search speed and precision deteriorate due to lack of structured indexing
Solution Approach 1:
The patent introduces semantic tags as an intermediary layer between unstructured data and search queries. These tags act as mediators that bridge the gap between flexible keyword searching and structured data organization, enabling both flexibility and speed by providing semantic indexing without requiring rigid schema constraints
2Productivity
If structured navigation is used, then data retrieval speed is improved, but adaptability to heterogeneous data structures deteriorates
Solution Approach 1:
The patent implements a universal navigation framework that can handle multiple data types and structures through a single unified interface. The system provides multi-functional capabilities by allowing users to navigate both structured and unstructured data using the same semantic tag-based approach, eliminating the need for separate navigation mechanisms for different data types
3Ease of operation
If pre-configuration of user interface is used, then ease of operation is improved, but flexibility for user discovery deteriorates
Solution Approach 1:
The patent implements a dynamic user interface that automatically adapts to user needs based on the data being accessed. The interface evolves from static pre-configuration to dynamic responsiveness, where the system provides structured navigation options initially but automatically transitions to flexible keyword search and semantic exploration when users need to discover heterogeneous data, combining ease of operation with discovery flexibility
Data Source
AI summary
Embodiments of the invention provide a method, system and computer program product for semantically aware adaptive searching and navigation of application data. In an embodiment of the invention, a method for semantically aware adaptive searching and navigation of application data is provided. The method includes associating different tags with different data of a database of unstructured data, each of the different tags corresponding to selected semantics of different objects encapsulating data for a data driven application executing in memory of a host computing system. The method also includes applying in the memory of the host computing system a filter operation to both the tags of the unstructured data and also the different objects, using filter criteria corresponding to one or more semantics of the different objects. Finally, the method includes displaying in a user interface to the data driven application a result set from the filter operation.