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An Enhanced Semantic Layer for Hybrid Recommender Systems: Application to News Recommendation Iv n Cantor, Pablo Cast ells, Alejandro Bellow n Department de Ingenier an Inform Tina, University AUT
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To fill out an enhanced semantic layer, follow these steps:

01
Identify the data sources: Determine the databases, spreadsheets, or other data repositories that contain the information you want to include in the semantic layer.
02
Define business semantics: Analyze the data and establish the business terminology and logic that will be used in the semantic layer. This includes defining dimensions, attributes, hierarchies, calculations, and relationships.
03
Map data elements: Map the data elements from the data sources to the defined business semantics. Ensure that each data element is properly aligned with its corresponding business term and logic.
04
Create metadata documentation: Document the semantic layer by creating metadata documentation that describes the structure, content, and relationships of the data elements. This documentation will help users understand the semantics and navigate the data effectively.
05
Validate and refine: Validate the semantic layer by conducting tests and gathering feedback from end-users. Refine the layer based on user feedback and make any necessary adjustments to ensure accuracy and usability.

An enhanced semantic layer is beneficial for various stakeholders, including:

01
Business users: An enhanced semantic layer provides business users with a simplified and intuitive view of complex data. It enables them to easily access and analyze the information they need without having to understand the technical details of the underlying data sources.
02
Data analysts: Data analysts can benefit from an enhanced semantic layer as it allows them to quickly retrieve, explore, and manipulate data for their analysis. It provides a consistent and standardized framework for data integration and analysis, saving time and effort.
03
IT professionals: IT professionals can utilize an enhanced semantic layer to streamline data management and governance processes. It helps in maintaining data quality, security, and consistency by enforcing standardized business rules and logic across different data sources.
04
Decision-makers: Enhanced semantic layers enable decision-makers to access accurate and consistent data, facilitating informed decision-making. It provides a reliable foundation for reporting, dashboards, and self-service analytics, empowering decision-makers with the insights they need to drive business success.
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An enhanced semantic layer is a structured database or framework that organizes and defines the relationship between different data elements. It provides a simplified and user-friendly interface for accessing and analyzing complex data sets.
The requirement to file an enhanced semantic layer varies depending on the specific jurisdiction and regulations. Generally, organizations or individuals that handle or store large amounts of data, especially those in industries such as finance, healthcare, and government, may be required to file an enhanced semantic layer.
Filling out an enhanced semantic layer typically involves mapping data elements to their corresponding definitions and relationships within the layer. This can be done through the use of data modeling tools or software that enable users to visually organize and define the structure of the semantic layer.
The purpose of an enhanced semantic layer is to provide a unified and consistent view of data across different sources and systems. It enables users to easily access and analyze data without needing to understand the underlying technical details or complexities of the data sources.
The specific information that needs to be reported on an enhanced semantic layer may vary depending on the requirements of the organization or regulatory body. Generally, it includes data elements, their definitions, relationships, data types, and access permissions.
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