A computable framework for accountable data assets
Synoposis
This article prescribes a systematic approach to manipulate data content in a unifying data abstraction framework. It integrates multiple fields of technical knowledge, including the following:
- A computational framework that demonstrates algebraic closure properties (sound and complete) in three classes of data assets: information content, compilable source code, and executable binary files.
- A software architecture that maps industry-standard tools to the above-mentioned three data asset classes, information content, source code, and executable binaries.
- A web-based workflow that ensures only authenticated participants and machine-executable contracts may conduct changes to a cryptographically verified ledger for any ownership transactions.
This computational framework can be thought of as an highly automated and mechanized accounting system for managing data assets on the web. In other words, this article will define the data capture and data verification procedure as an algebraically-formulated accounting process, so that it can leverage the mathematical rigor to reason about data integrity. Moreover, this article prescribes an implementation roadmap to construct an open-source Enterprise Resource Planning (ERP) system utilizing decentralized security system.
Background
Since the appearance of World Wide Web in 1995, the world has been transformed by ever-faster electronic data transaction activities. This revolutionary software artifact presented many business opportunities and inspired many new technologies, however methods and tools to ensure their system integrity have not yet caught up with these changes.
- Complex software applications and business processes that have been serving a large portion of the society are searching for systematic ways to migrate to modern technical infrastructures.
these algebraic formulation of accounting systems has
According to Rambaud and Pérez[1][2], an algebraically-defined accounting (data capture and verification) practice may systematically 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.
Lattices and Partially Ordered Sets
Composition and Decomposition
The Notion of Closure offered by Algebra
Applications in ICT System Development
Conclusion
Ensure System Integrity at multiple temporal cycles
Rigorous practice in Constructing and Deconstructing Data-Intensive Systems
Boosting producitivy in Software Development
Direct societal-scale applications as Integrated Data Processing Workflows
References
- ↑ Rambaud, Salvador Cruz; Pérez, José García; Nehmer, Robert A.; Robinson, Derek J S Robinson (2010). Algebraic Models for Accounting Systems. local page: Cambridge at the University Press. ISBN 978-981-4287-11-1.
- ↑ Rambaud, Salvador Cruz; Pérez, José García (2005). "The Accounting System as an Algebraic Automaton". INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS. local page: Wiley Periodicals, Inc. 20: 827–842.