Weighted Interaction Graph for Disjunctive Data Sources
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Solution Overview
Problem
Accessing complete data from disjunctive sources is challenging due to different access constraints, leading to incomplete or insufficient data for clients attempting to perform operations across multiple data sources.
Innovation Solution
A computer-implemented method generates a weighted interaction graph based on data from disjunctive sources, determining relationships and inferring classes to enhance data completeness and quality by indicating interaction likelihoods between entities and classes, thereby generating an extended dataset for improved communication and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If separate queries are submitted to multiple data sources to access complete data, then data completeness may be improved, but access constraints from different sources prevent full data retrieval
Solution Approach 1:
The patent introduces an intermediary system that receives queries from clients and automatically distributes them to multiple disjunctive data sources. This intermediary handles the complexity of accessing multiple sources with different access constraints, allowing clients to retrieve complete data through a single query interface without directly dealing with the access constraints of individual sources.
Solution Approach 2:
The patent merges data from multiple disjunctive sources by receiving first data from a first source and second data from a second source, then combining them into a unified result set. This merging process allows the system to overcome the limitations of individual sources and provide complete data to clients despite different access constraints at each source.
2Adaptability or versatility
If data is stored across multiple disjunctive sources with different formats and access constraints, then data versatility is improved, but data access complexity increases
Solution Approach 1:
The patent creates a universal query processing system that can handle multiple types of data sources with different formats and access constraints through a single interface. The system performs multiple functions including query distribution, data reception from heterogeneous sources, data merging, and result delivery, thereby managing complexity while maintaining versatility.
3Reliability
If access constraints are enforced at each data source, then data security is improved, but data retrieval completeness deteriorates
Solution Approach 1:
The intermediary system acts as a mediator that respects and enforces access constraints at each data source while still enabling complete data retrieval. It manages the authentication and authorization processes with each source, ensuring security requirements are met while coordinating queries to obtain complete data sets that individual clients could not access alone.
Data Source
AI summary
The present disclosure relates to systems and methods for enhancing data from disjunctive sources using a weighted interaction graph. First data about first entities can be received from a first data source. Second data about second entities at least partially different than the first entities can be received from a second data source. Relationships between each entity of the first entities and second entities can be determined, and a set of classes can be inferred from the first data and from the second data. A weighted interaction graph can be generated. The weighted interaction graph can indicate a likelihood of each entity interacting with a corresponding class. An extended set of data can be generated using the weighted interaction graph. The extended set of data can be output to facilitate communication with third entities that include the first entities and the second entities.