Technology for designing innovative processes for creating products and services of a network enterprise using an i4.0 knowledge-based system

The creation of network enterprises based on the digital technologies of the Industrie 4.0 (the 4th Industrial Revolution, i4.0) opens broad opportunities for increasing production flexibility, customer focus and continuous innovation in products and services provided. At the same time, new opportunities necessitate the development of new methods and technologies for designing innovative processes in the context of digital i4.0 platforms, all of which highlights the relevance of the presented research topic. This work aims to define technologies for designing innovative processes to create products and services using i4.0 systems which are based on multi-agent interaction of asset administration shells (AAS), displaying digital twins of product components, and the use of ontological and cognitive methods for forming and justifying design decisions. The work presented here uses the Domain-Driven Design approach, an architectural framework for building i4.0 systems, methods of ontological engineering, quality function deployment (QFD), analysis of the types and consequences of potential inconsistencies (FMEA) and processing of fuzzy sets. The paper proposes principles for identifying bounded contexts of the domain under the design activities for the stages of the life cycle and products’ subsystems (components). For bounded contexts of the domain, it is envisaged to create AAS of i4.0 systems, with the help of which the innovative process is supported and the multi-agent interaction of its participants is carried out. As cognitive tools for making design decisions, we proposed to use services for assessing the importance of the determined quality characteristics of products and minimizing deviations of the proposed solutions from the formed functional and non-functional requirements. The methods of ontological engineering and data modelling allow us to dynamically develop an innovative project and support various versions of the project in the design process. Application of the proposed technology for designing innovative processes to create products and services at network enterprises using i4.0 systems will improve the quality of design decisions, increase the dynamism and continuous design of innovative projects.

Digitalization of Bulgarian Residential Architecture in and around the Bulgarian Revival Period – Typological Groups and Houses

The article presents the Bulgarian Revival architecture in the context of Informatics, and in particular of the Artificial Intelligence. Ontological engineering is dealing with the semantic modeling of real-world concepts and the relations between them under the influence of semantic axioms and machine-readable judgments. Ontologies that are described in the article were developed to be included in the repository with multiple ontologies for Bulgarian cultural and historical heritage. Keywords: Оntology; Semantic Мodelling; Protégé; Revival Аrchitecture; Intelligent Tourist Guide

Digital twin development of a solar power plant

The article is devoted to the development of a digital twin of a solar power plant. An overview of existing solutions in this area is given. An approach to building a digital twin based on ontological engineering is discussed in more detail. The main steps of ontological engineering are described. A fragment of the system of ontologies of photovoltaic systems is presented. A mathematical model designed to simulate a solar power plant taking into account changes in environmental parameters is considered. The article also focuses on the design of the architecture of the digital twin, consisting of: Digital Shadow, Digital Model and control system. The article also describes the stage of implementation of a prototype of a digital twin of a solar power plant, which currently includes a database and a component for calculating the output characteristics of solar panels and inverters.

Ontological Engineering For Source Code Generation

Source Code Generation (SCG) is the sub-domain of the Automatic Programming (AP) that helps programmers to program using high-level abstraction. Recently, many researchers investigated many techniques to access SCG. The problem is to use the appropriate technique to generate the source code due to its purposes and the inputs. This paper introduces a review and an analysis related SCG techniques. Moreover, comparisons are presented for: techniques mapping, Natural Language Processing (NLP), knowledgebase, ontology, Specification Configuration Template (SCT) model and deep learning.

An ontology-based information retrieval mechanism for E-learning management system

During the last decade, increasing attention has been focused on ontologies and Ontological Engineering. The application of ontological engineering technique to e-learning, though still in its early stage, has become a phenomena tool in the integration and adaptation of a dynamic and flexible elearning environment, where tutors and learners are provided with the functionality of personalizing their learning process, this has not fully considered the generality of an entire field of study. This paper presents an ontology-based framework for classification of the entire courses of computer science at the university level. A model of an e-learning domain in the context of material classification that enables students retrieve information about a particular course in personalized ways was presented the method adopted elicited e-learning knowledge using documented materials, observation, consultation, prototyping among others. With domain expertise developed, the knowledge elicited was analyzed and formally represented using OWL-Description Logic. The design was implemented using Protégé 5.0 editor. The validation for accuracy and completeness was carried out with the domain and ontology experts using consistency checking reasoned, DL-Query. The results of the implementation show that elearning materials can be searched and retrieved easily and timely. The study also established and formalised an effective computational approach for representing information content of educational resources thereby helping to improve the flexibility of content representation in an e-learning system.Keywords: e-learning, Ontological Engineering, Ontology, Ontology Web Language (OWL), Knowledge Management, Description LogicVol. 26, No 1, June 2019