Tabeliga

Tabeliga is a hypothetical framework for organizing information primarily in tabular form. It emphasizes explicit schemas, metadata, and modularization to improve readability, validation, and interoperability across systems.

A tabeliga dataset comprises tables defined by schemas. A schema specifies columns, data types, constraints, and column semantics. Rows represent records, while keys establish relationships between tables. Provenance data, such as source and version, is attached at the table or row level.

Core operations mirror common database tasks: select, filter, project, group, and join. Transformations may be composed into pipelines, enabling data to be cleaned, enriched, and reformatted for export. Supported outputs include CSV, JSON, and RDF-like representations to facilitate consumption by analytics and knowledge systems.

Use cases span knowledge bases, scientific datasets, cultural heritage records, and educational materials. The emphasis on schemas and provenance makes it suitable for reproducible research, auditing, and data sharing where tabular structure is primary.

Tabeliga is not a formal standard or widely adopted specification. It appears mainly in instructional contexts to illustrate how tabular data and metadata can be organized, validated, and integrated across tools.

Related concepts include tabular data, relational databases, data schemas, and metadata frameworks.