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This section will provide a visual guide to navigating the EMO-BON data workflow and systems.

Semantic Uplifting Process

Overview Diagram

Description

This diagram illustrates the semantic uplifting process inspired by the linked-data-etl workflow. Key steps include:

  1. Data Collection: Gathering raw data from various sources.

  2. Preprocessing: Cleaning and preparing data for semantic annotation.

  3. Semantic Annotation: Enriching data with semantic metadata using tools like semantify.

  4. Validation: Ensuring data quality and adherence to profiles (e.g., RO-Crate profiles).

  5. Integration into Knowledge Graph: Aggregating and publishing validated data into a knowledge graph for further use.

This process ensures data is transformed into a semantically rich and interoperable format, ready for integration into broader systems.

Sub-process: Data Collection

Sub-process: Semantic Annotation

Sub-process: Validation

Sub-process: Integration into Knowledge Graph

Coming Soon

This section is under development and will include:

Introduction
About This Handbook
Data Management Flow
Infographic on Data Flow