Spreadsheet Integration via Category Theory and Kan Extensions

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Solution Overview

Problem

Current data migration and integration systems face scalability issues when handling very large data sets, and there is a need to ensure semantic consistency across integrated engineering models to prevent errors from propagating between models.

Innovation Solution

The implementation of a data migration and integration system that uses left Kan extensions and the chase algorithm to programmatically integrate data from separate databases, treating each spreadsheet as an algebraic theory and model, and applying category theory techniques to compute a canonical, universal integrated theory and model, ensuring semantic preservation through morphisms and verification conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If typical data migration and integration approaches are used, then data integration can be performed, but scalability deteriorates when handling very large data sets

Engineering Contradiction:
Improvedata integration efficiencyVSAvoidscalability to large data sets
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent segments the data integration process into multiple distributed computing tasks that can be processed in parallel. By dividing large data sets into smaller manageable chunks and processing them concurrently across multiple computational nodes, the system achieves both high productivity and scalability when handling very large data sets.

Inventive Principle:
Principle #1Segmentation

2Productivity

If models are integrated without verification, then integration speed is improved, but semantic consistency deteriorates causing errors to propagate between models

Engineering Contradiction:
Improvemodel integration speedVSAvoidsemantic consistency
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements preliminary verification actions through verification conditions and invariants that are checked before and during the model integration process. These pre-established validation rules ensure semantic consistency is maintained while allowing rapid integration by automatically detecting and preventing error propagation between integrated models.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20240119035A1Automated spreadsheet exchange and integration
Publication Date: 2024.04.11 CONEXUS AI INC
  • US20240119035A1 patent drawing
  • US20240119035A1 patent drawing
  • US20240119035A1 patent drawing

AI summary

A system and method are disclosed for merging multiple spreadsheets into one sheet, and/or exchanging data among the sheets, by expressing each sheet's formulae as an algebraic (equational) theory and each sheet's values as a model of its theory, and then performing one or more of “Kan-extension”, “psuedo-colimit”, and “lifting”, and constructions from category theory, to compute a canonically “universal” integrated theory and model, which can then be expressed as a spreadsheet and from which projections back to the sources are easily constructed.