INDEX (FRF for SMEs™)

This page contains summary information and technical details used to implement this financial reporting scheme ontology-like thing. For more human-readable information please go to the HOME page. This resource is a machine-readable ontology-like thing or logical system that supports creating XBRL-based digital financial reports using the FRF for SMEs framework.

This ontology was created leveraging the Open Source Framework for Implementing XBRL-based Digital Financial Reporting. To understand why this ontology-like thing is important, please have a look at Artificial Intelligence and Knowledge Engineering Basics in a Nutshell.

For one resource that ties all the puzzle pieces of XBRL-based digital financial reporting together, please see Intelligent XBRL-based Digital Financial Reporting. If you want the most recent information, then follow my blog.

This ontology-like thing will be converted to use the OMG Standard Business Report Model (SBRM). This will also be used to test the SBRM while it is being created.

Financial Reporting Framework for Small- and Medium- Sized Entities (FRF for SMEs) Knowledge Base

The FRF for SMEs conceptual framework describes this financial reporting scheme. The information in this conceptual framework is documented below in both human-readable and machine-readable terms.

• Disclosures: (Human | Machine) The financial reporting scheme requires specific disclosures. (Functional Term)
• Topics: (Human | Machine) Those disclosures can be organized within specific topics. (Functional Term)
• Templates: (Human | Machine) Templates provide examples of those disclosures. (Functional Term)
• Examples: (Human | Machine) Examples (exemplars) exist in the form of how other economic entities reported these same disclosures. (Functional Term; Model)
• Report Elements: (Human | Machine) Report elements are used to represent disclosures in a machine-readable XBRL taxonomy. (Primitave Terms; Functional Terms)
• Networks: (Human | Machine) The disclosures are represented within XBRL networks when represented in a machine-readable XBRL taxonomy. (Structure)
• References: (Human | Machine) References to authoritative literature document topics, disclosures, report elements. (Property)
• Fundamental Accounting Concepts: (Human | Machine) High-level fundamental accounting concepts exist within the conceptual framework for FRF for SMEs. (Functional Terms)
• Classes: (Human | Machine) Many fundamental accounting concepts (classes) have specifically allowed subclasses. (Relations)
• Properties: (Human | Machine) Properties further elaborate on information about report elements. (Properties)
• Reporting Styles: (Human | Machine) Reporting styles are models of relations between fundamental accounting concepts that form an approach to creating a report. (Model)
• Consistency Rules: (Human | Machine) Consistency rules explain the relations between fundamental accounting concepts. (Assertions)
• Impute Rules: (Human | Machine) When a fundamental accounting concept is not explicitly reported; impute rules are used to use logical deduction to impute the value of the unreported high-level financial concept. (Assertions)

Example Financial Report (this is a WORK IN PROGRESS!!!)

• Raw XBRL
• Inline XBRL (auto generated)
• Human Readable (review tool)
• Human Readable (Report)
• Information Extraction Prototype
• Software Application that supports this FRF for SMEs Ontology (free for noncommercial use, great for accounting students)