File mapping Rule-based DBMS and Natural Language Processing
Vjacheslav M. Novikov

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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Database Systems and Queries · Scientific Computing and Data Management · Advanced Computational Techniques and Applications
