Text Storage Indexing Based on the Natural Language Addressing

This paper presents the results of the implementation of the module of the software system for linguistic research, providing storage, search and retrieval of texts from the corpora using indexing based on natural language addressing in the form of wcf-service. The approach to the storage of corpora in existing software products, as well as document-oriented DBMS for text information storage was analyzed. The analysis showed the need to develop a special module using indexing. The second chapter provides an analysis of database design and architecture, as well as a feasibility study. The following parts describe implementation, testing, and publishing a wcf-service on Azure. This work could be of interested for specialists who are engaged in the development of document-oriented systems, storage of unstructured or semi-structured information in large volume. The paper includes 48 pages of the main text, 31 illustrations, 17 tables, 4 annexes. A bibliography has 27 titles. 2018 Department of information technologies in business.