Contextual Publisher Data Set Indexing in Applications
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Solution Overview
Problem
Users in the oil and gas industry face challenges in finding and evaluating the relevance of external publisher data sets, as they often need to search externally and manually assess their suitability for projects, which can be time-consuming and inefficient.
Innovation Solution
A system that includes a server hosting an index of publisher data sets with metadata, allowing computing devices to access and display relevant customer and publisher data sets within the context of an application, visually differentiating them and providing information on how to obtain publisher data sets, facilitating easier discovery and integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users search for publisher data sets externally on the Internet, then they can find available data sets, but it is time-consuming and inefficient
Solution Approach 1:
The system pre-creates an index of publisher data sets with metadata before users need to search. This index is built in advance and made available to computing devices, allowing users to quickly query and evaluate relevant data sets without performing time-consuming external searches.
Solution Approach 2:
The patent introduces an intermediary indexing system that sits between publisher data sets and users. The index contains metadata about publisher data sets and enables computing devices to efficiently search and evaluate data sets within the application context, eliminating the need for external Internet searches.
2Measurement precision
If users manually evaluate the relevance of publisher data sets, then they can assess suitability for projects, but the process becomes challenging and time-consuming
Solution Approach 1:
The system pre-processes and structures data set metadata in the index before users need to evaluate relevance. By organizing data set information in advance with relevant metadata, the system enables users to quickly assess suitability without manual evaluation of raw data.
Solution Approach 2:
The system provides feedback to users about the relevance of publisher data sets by displaying both customer and publisher data sets together in context. This allows users to compare and evaluate relevance more efficiently with immediate feedback on suitability.
3Ease of operation
If the system displays both customer and publisher data sets together, then users can evaluate relevance more easily, but the display complexity increases
Solution Approach 1:
The system applies local quality by visually differentiating between customer data sets and publisher data sets in the display. This allows users to easily distinguish between the two types while viewing them together, maintaining ease of operation without overwhelming complexity.
4Loss of information
If the system provides comprehensive information about publisher data sets, then users can make better decisions, but the information overload increases
Solution Approach 1:
The system extracts only the most relevant metadata from publisher data sets and displays it in the index. By selecting and presenting only the essential information needed for evaluation, the system provides comprehensive decision-making support without overwhelming users with unnecessary details.
Data Source
AI summary
Approaches to sharing information about third-party data sets in the context of an application. A computing device may be used to determine the context of an application that is executing on the computing device and searching an index that includes entries representing publisher data sets. The computing device may search the index for entries that are associated with the context of the application. In response to finding such an entry, the computing device displays information about the publisher data set that is associated with the entry.