Ontology-Based Data Repository Querying for Multi-Dataset Views
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Solution Overview
Problem
Large-scale data analytic systems face challenges with increased dataset size leading to performance degradation and user interaction difficulties with multi-dataset repositories.
Innovation Solution
A method and system that generate searchable databases from datasets in a data repository using ontological data, allowing for the creation of object views that are displayed based on defined ontological data, facilitating user interaction and dataset management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If relational data is stored within datasets themselves, then data structure completeness is improved, but dataset size increases and system performance deteriorates
Solution Approach 1:
The patent segments relational data into two parts: core dataset content and relational structure. The relational data is extracted and stored separately as an ontology model, while the datasets retain only essential data. This segmentation reduces dataset size and improves performance while maintaining data structure completeness through the separate ontology layer.
Solution Approach 2:
The patent introduces an ontology layer as an intermediary between datasets and users. This ontology acts as a mediator that manages relational data independently, allowing datasets to remain lightweight while the ontology handles complex relationships. The ontology serves as the intermediary structure that maintains data completeness without burdening the datasets themselves.
2Quantity of substance
If multiple datasets are stored in a data repository, then data comprehensiveness is improved, but user interaction difficulty increases
Solution Approach 1:
The patent creates a universal ontology layer that serves multiple datasets simultaneously. This single ontology structure provides multi-functional capabilities by managing relationships across all datasets in the repository. Users interact with this universal ontology rather than individual datasets, simplifying interaction while maintaining access to comprehensive multi-dataset information.
Solution Approach 2:
The ontology layer serves as an intermediary between users and multiple datasets. Instead of users directly navigating complex multi-dataset relationships, the ontology mediates by providing a unified view and managing relationships transparently. This intermediary layer simplifies user interaction while preserving access to comprehensive data across all datasets.
3Measurement precision
If datasets are joined using ontological data, then query accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent segments the processing complexity by separating ontology operations from dataset operations. Joining operations work with the structured ontology layer rather than raw datasets, which simplifies the joining logic. The ontology provides pre-defined relationship structures that improve query accuracy while containing processing complexity within the ontology management layer.
Solution Approach 2:
The patent changes the parameter representation by using standardized ontology parameters instead of raw dataset parameters for joining operations. This parameter transformation allows for more accurate and consistent joins across datasets, as the ontology provides a unified parameter framework. The complexity is managed by working with standardized ontology parameters rather than heterogeneous dataset parameters.
Data Source
AI summary
A search request relating to one or more datasets in the data repository can be received, the search request comprising a display request to display at least a portion of the one or more datasets. In response to the search request, a searchable database can be generated from the one or more datasets in a data repository based on ontological data associated with the one or more datasets. An object view of at least the portion of one or more datasets can be generated from the searchable database, the view being generated based on the ontological data. The generated object view can be provided to be displayed on a display device.