Semantic Computer Language for Platform-Agnostic Financial Data Exchange
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Solution Overview
Problem
Current systems lack a standardized computer language for electronically representing and managing financial data, leading to difficulties in interoperability, customization of messages, and analysis of financial goals and events across different platforms and devices.
Innovation Solution
A feature-rich, platform-agnostic computer language that uses semantic grammar components to represent financial information, actions, and events, enabling seamless exchange and manipulation of financial data across various electronic systems and devices, integrated with voice recognition and natural language processing for user-friendly interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a standardized computer language is implemented for financial data exchange, then interoperability between different systems and platforms is improved, but device complexity and implementation difficulty increase
Solution Approach 1:
The patent creates a universal financial event language that can represent and exchange financial data across different platforms, devices, and systems. The language is designed to be platform-agnostic while maintaining comprehensive coverage of financial concepts, allowing a single standardized format to serve multiple functions and systems simultaneously.
Solution Approach 2:
The financial event language acts as an intermediary layer between diverse financial systems and platforms. By translating various financial data formats into this standardized intermediate representation, the system enables interoperability without requiring direct integration between all systems, thus reducing overall implementation complexity.
2Ease of manufacture
If proprietary non-standardized formats are used for financial data, then ease of implementation is improved, but information loss and incompatibility between systems worsen
Solution Approach 1:
The patent transforms financial data from proprietary formats into a standardized parameter-based structure. By defining consistent parameters for financial events (such as event type, amount, timestamp, parties involved), the system maintains data completeness and compatibility while enabling easy implementation through a uniform schema that can be systematically applied across different platforms.
3Adaptability or versatility
If detailed financial information is maintained in custom formats, then customization capability is improved, but difficulty in analyzing and manipulating data across platforms increases
Solution Approach 1:
The patent segments financial information into distinct, standardized components representing different aspects of financial events (event type, amount, timing, parties, conditions). This segmentation allows each component to be independently customized while maintaining overall data integrity, and enables systematic manipulation of specific financial attributes without affecting the entire data structure.
Data Source
AI summary
Methods and systems described in this disclosure are directed to providing a plurality of grammatical components of a computer language for representing financial events of a user, receiving first financial information pertaining to the user from a first computing device, the first financial information defined using a first grammatical component in the plurality of grammatical components of the computer language; receiving second financial information pertaining to the user from a second computing device, the second financial information defined using a second grammatical component in the plurality of grammatical components of the computer language; and extracting the first financial information from the first grammatical component and the second financial information from the second grammatical component by parsing the first grammatical component and the second grammatical component.