Practical language based on systems of definitions

TL;DR

This paper proposes a system of tables with special lists that encapsulate data semantics, enabling parallel processing and serving as intermediate definitions for data mining and unstructured data handling.

Contribution

It introduces a novel table-based system with semantic lists for data description and processing, facilitating parallelism and data mining tasks.

Findings

System of tables with semantic lists effectively models data semantics.

Parallel processing can be constructed based on these descriptions.

Potential application in data mining and unstructured data processing.

Abstract

The article suggests a description of a system of tables with a set of special lists absorbing a semantics of data and reflects a fullness of data. It shows how their parallel processing can be constructed based on the descriptions. The approach also might be used for definition intermediate targets for data mining and unstructured data processing.