File mapping Rule-based DBMS and Natural Language Processing

TL;DR

This paper presents a system combining rule-based DBMS and natural language processing, utilizing file mapping for storage, recursive inference, and a specialized language for semantic information retrieval.

Contribution

It introduces a novel integration of rule-based database management with natural language processing using file mapping and recursive inference mechanisms.

Findings

Effective semantic information retrieval demonstrated

Dynamic data structures support recursive inference

Implementation features enable natural language processing applications

Abstract

This paper describes the system of storage, extract and processing of information structured similarly to the natural language. For recursive inference the system uses the rules having the same representation, as the data. The environment of storage of information is provided with the File Mapping (SHM) mechanism of operating system. In the paper the main principles of construction of dynamic data structure and language for record of the inference rules are stated; the features of available implementation are considered and the description of the application realizing semantic information retrieval on the natural language is given.