field-keywords

You can automatically categorize research notes into report chapters by applying domain-specific keyword sets for ROS2, AI/ML, and general engineering to detect the domain context and map content to the appropriate sections.

Domain-based chapter mapping is a process that uses domain-specific keyword sets and term translations to detect the context of engineering notes and route content into corresponding report chapters automatically.

Yes, you can use specific ROS2 and AI/ML domain keyword sets to classify robotics and machine learning notes, which enables automatic content tagging and ensures terminology consistency across your research reports.

You can translate generic engineering terms into domain-specific terminology by using built-in domain-specific term mappings that convert standard vocabulary into appropriate expressions for ROS2, AI/ML, and general engineering contexts.

Domain detection for research notes relies on a JSON structure that drives domain detection, chapter mapping, and content routing by organizing domain keyword sets and term translations for ROS2, AI/ML, and general engineering topics.