Storing Dynamical Data Using Natural Language Addressing
Krassimira Borislavova Ivanova · IOP Conference Series Materials Science and Engineering · 2021
Abstract The present paper refers to the possibilities for storing dynamical data from tracking moving objects. The urgency of this problem is determined primarily by the need for electronic registration, storage and processing of large volumes of semi-structured dynamical data in various fields of practice. The new problem raised, is the way in which the relationships between the data are described. The capabilities of modern relational database management systems do not allow rapid readjustment in accordance with the changes in practice. The emergence of new types of data connections requires readjustment, which takes time and requires a certain level of skill. In this article we consider an approach based on “Natural language addressing”, which allows solving these problems and we will offer a conceptual design (prototype) of an extension to existing systems, which facilitates the work, especially with dynamical semi-structured data and implicit relationships between them.