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This document discusses the translation of XBRL taxonomies into description logic using OWL, Protégé, and Sesame, detailing the information extraction processes employed in the WINS project for
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How to fill out Translating XBRL Into Description Logic
01
Identify the XBRL instance document that you wish to translate.
02
Understand the XBRL taxonomy and its concepts relevant to your data.
03
Map the elements in the XBRL document to corresponding Description Logic concepts.
04
Create a framework for the translation process, ensuring compliance with Description Logic syntax.
05
Translate each XBRL element into its Description Logic representation point by point.
06
Validate the translated elements against Description Logic criteria to ensure consistency and correctness.
07
Compile the translated descriptions into a structured format for documentation.
Who needs Translating XBRL Into Description Logic?
01
Financial analysts who wish to analyze corporate data semantically.
02
Data scientists looking to integrate XBRL data with knowledge representation systems.
03
Regulatory bodies aiming to standardize reporting through Description Logic.
04
Developers creating applications that utilize XBRL data for analytics.
05
Researchers studying the implications of financial reporting formats on decision-making.
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What is Translating XBRL Into Description Logic?
Translating XBRL Into Description Logic involves converting XBRL (eXtensible Business Reporting Language) data into a formal representation using Description Logic, which is a family of knowledge representation languages. This process helps in enhancing the interoperability and reasoning capabilities of financial data.
Who is required to file Translating XBRL Into Description Logic?
Entities that are required to file financial statements with regulators, such as public companies and financial institutions, may need to translate their XBRL data into Description Logic to meet specific reporting and compliance standards.
How to fill out Translating XBRL Into Description Logic?
To fill out the process of Translating XBRL Into Description Logic, one would typically extract the relevant XBRL documents, transform the XBRL tags into a structured format following Description Logic constructs, and ensure that the resulting representation adheres to the required semantic rules and standards.
What is the purpose of Translating XBRL Into Description Logic?
The purpose of Translating XBRL Into Description Logic is to facilitate better data validation, enable semantic reasoning, and improve the accessibility and usability of financial information across different systems and applications.
What information must be reported on Translating XBRL Into Description Logic?
The information that must be reported when Translating XBRL Into Description Logic includes the definitions of financial concepts, relationships between data points, and any constraints or rules that apply to the data structure.
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