Data Exchange Platform Search Ranking for Efficient Data Discovery
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Solution Overview
Problem
Existing data sharing methods are inefficient and costly, particularly for large data sets, as they often require cumbersome transfer methods and lack scalable sharing capabilities, making it difficult for smaller entities to access valuable data.
Innovation Solution
A data exchange platform that allows data providers to share data without copying it, using a cloud computing service to facilitate secure, scalable, and efficient data sharing, with features like data listing search and ranking based on relevance to both the query and user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is shared using traditional transfer methods (copying, FTP, physical media), then data can be transferred between parties, but the process becomes cumbersome, slow, and costly especially for large data sets
Solution Approach 1:
The patent extracts the data from physical transfer methods and stores it in a cloud-based data lake, allowing parties to access and query data remotely without copying or physically transferring it. This eliminates the time-consuming aspects of traditional transfer methods while maintaining data accessibility.
Solution Approach 2:
The patent introduces a data exchange platform as an intermediary between data providers and consumers. This platform facilitates secure data sharing through controlled access and querying mechanisms, eliminating the need for direct data transfer between parties and significantly improving efficiency.
2Adaptability or versatility
If data is shared using traditional methods, then data transfer is possible, but scalable sharing capabilities are lacking making it difficult for smaller entities to access valuable data
Solution Approach 1:
The patent creates a universal data exchange platform that serves multiple functions: data storage, secure sharing, querying, and access control. This multi-functional platform makes data accessible to entities of all sizes, from small businesses to large enterprises, by providing standardized access mechanisms that scale with user needs.
Solution Approach 2:
The patent enables data consumers to independently query and access data through the platform without requiring complex setup or direct involvement from data providers. The self-service model reduces operational complexity and makes data accessible to smaller entities that lack extensive technical resources.
3Reliability
If data is encrypted and stored securely, then data security is maintained, but data sharing capabilities are restricted
Solution Approach 1:
The patent uses the data exchange platform as an intermediary that handles encrypted data storage and secure querying. The platform maintains encryption for security while providing controlled access mechanisms that enable sharing. Data consumers can query encrypted data through the platform without compromising security, thus resolving the contradiction between security and sharing capability.
4Ease of operation
If data is copied for sharing, then data accessibility is improved, but data security and governance control are weakened
Solution Approach 1:
The patent extracts data from physical copies and stores it centrally in an encrypted data lake. This eliminates the security risks associated with data copying while maintaining accessibility through remote querying. The centralised storage model allows providers to maintain governance control while consumers access data without possessing actual copies.
Data Source
AI summary
A search engine of a data exchange may receive from a user, a query comprising a set of search terms, and retrieve a set of data listings based on the search terms of the query. A data ranking module of the search engine may analyze each of the set of retrieved data listings to determine, for each of the set of retrieved data listings, a set of listing-specific signals and a set of external signals. Listing-specific signals may correspond to attributes or characteristics of data/content within a data listing, while external signals may correspond to a measure of activity in the data exchange that involves a data listing. Based on the listing-specific signals and the external signals analyzed for each retrieved data listing, the set of retrieved data listings may be ordered and presented to the user.