Design and Implementation of an Intelligent System for Semantic Analysis and Knowledge Extraction From the Ontology

<p>In this work the semantic solution for data exchange in supply networks is proposed. Today the structure of supply networks is becoming more and more complicated. This is due to the increasing volume of transportation load, the number of people and organizations involved into logistical processes, stronger requirements to the quality of product distribution and the growing volume of information flow. In such a tricky situation there is a necessity of improving the efficiency of interaction among agents in supply networks. The first step in this direction is proper data exchange, which leads to transparency of networks and speeds up interactions of their participants. Despite plenty of data standards, there is a lack of approaches to data modeling allowed the seamless extension and sharing of knowledge within supply networks. The work introduces a new ontological framework for data models of supply networks based on consistent theory for data modeling &ndash; the Object Paradigm. At the first part of work, theoretical basics of the proposed approach to data modeling are described. Also this part contains some technical aspects of storage and access to data models in information systems. The second (or practical) part has the detailed explanation of the developed data model and the description of programming tools for dealing with this model. Moreover, for better understanding of the benefits of proposed ontological framework, the developed model has been applied to real use case and compared with already known solutions in the research area.</p>