Difference between revisions of "A computable framework for accountable data assets"
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=Introduction= | =Introduction= | ||
The goal of our computational framework is to automate the decision procedures for the following activities: | |||
# Decide how to classify the data collected and send the collected data to relevant data processing workflows. | |||
# Whether a given data set is considered admissible or not. This is judged in terms of its data formats and legal value ranges. | |||
# Whether a transaction process is allowable, or not. This include whether a given transaction is feasible, in relevant operational/business logics. | |||
==Ownership associated with Accounts== | ==Ownership associated with Accounts== | ||
==Data Content that represent Decision Procedures== | ==Data Content that represent Decision Procedures== | ||
Revision as of 05:05, 12 May 2022
Synoposis
This article prescribes an algebraic approach to manipulate digital assets in a unifying data abstraction framework. For non-mathematicians, this computational framework can be thought of as an accounting system that can be formally extended to serve a wide range of applications.
Introduction
The goal of our computational framework is to automate the decision procedures for the following activities:
- Decide how to classify the data collected and send the collected data to relevant data processing workflows.
- Whether a given data set is considered admissible or not. This is judged in terms of its data formats and legal value ranges.
- Whether a transaction process is allowable, or not. This include whether a given transaction is feasible, in relevant operational/business logics.
Ownership associated with Accounts
Data Content that represent Decision Procedures
The Control Structure(If/Then/Else)
Computable Data Types
It is been defined axiomatically that all computable data types are Partially-ordered sets.