Open Semantic Technologies for Intelligent Systems: 11th International Conference, OSTIS 2021, Minsk, Belarus, September 16–18, 2021, Revised Selected ... in Computer and Information Science)

This book constitutes the refereed proceedings of the 11th International Conference on Open Semantic Technologies for Intelligent Systems, OSTIS 2021, held in Minsk, Belarus, during September 16–18, 2021. The 20 full papers included in this book were carefully reviewed and selected from 46 submissions. The papers are focused on the development of flexible and compatible technologies that provide fast and high-quality construction of intelligent systems for various purposes. Preface Organization Contents On the Current State and Challenges of Artificial Intelligence 1 Introduction 2 Activity Structure in the Field of AI 3 Modern Problems of AI 3.1 Problems of Scientific and Research Activities 3.2 Development Problems of the Technology for the ICS Design 3.3 Development Problems of the Technology for the Implementation of the Designed ICS, Their Operation, Maintenance, and Reengineering 3.4 Engineering Problems 3.5 Problems of Educational Activities 3.6 Problems of Business Activities 3.7 Methodological Problems of AI Development 4 Building Up of ICS with a High Level of Socialization 5 Advantages of the Approach to Building Up a New Generation ICS 6 Conclusion References Intelligent Services Development Technology Using the IACPaaS Cloud Platform 1 Introduction 2 Technology Overview 3 Development of an Intelligent Service 4 Development of Knowledge Bases and Databases 4.1 General Description 4.2 Development of Object Information Resources 4.3 Development of Metainformation Resources 5 Development of a Problem Solver 6 Development of an Agent 7 Development of a Message Template 8 Development of a User Interface 9 IACPaaS Cloud Platform 10 Medical Treatment Prescription Service Development 11 Discussion and Future Work References Measuring Protocol Consistency in Cohesive Hybrid Intelligent Multi-agent Systems 1 Introduction 2 Cohesion Phenomenon 3 Cohesive Hybrid Intelligent Multi-agent System Model 4 Protocol Consistency Evaluation Model 5 An Example of the Protocol Consistency Evaluation 6 Conclusion References Concepts and Models of Semantic Technologies 1 Introduction 2 Task Definition 3 Semantics in Information Technologies 4 Use of Ontological Analysis in Semantic Technologies 5 Semantic Information Resources 6 Main Components of Information Sources in SIISs 7 Semantic Technologies and the Semantic Web 8 Models of Semantics 9 Algorithms Used in Semantic Technologies 10 Semantic Computing and Semantic Applications 11 Use of the Semantic Web for Semantics Applications 12 Conclusion and Future Work References Semantic Aspects of the Experts' Communication Problem in Relation to the Conceptual Design of Complex Systems 1 Introduction 2 Software Systems' Desing Methodologies 3 Complex Systems' Design Methodologies Based on the Technologies for Intelligent Semantic Systems 4 Harmonization of Conceptual Apparatus and Translation Between Traditional Languages as Major Barriers in Experts' Communication and Complex Systems' Design Process 5 Environment for Experts' Communication 6 Preceding Attempts to Create an Artificial Language 7 Principles of Visualization of Information as the Basis for the New Language 8 Creation of a New Language for Experts' Communication Based on the Achievements in Computer Technologies 9 Initiatives for Creation of a New Language 10 Conclusion References Knowledge Ecosystems: An Intelligent Agent for Knowledge Discovery 1 Introduction 2 Agents and Their Properties 3 Knowledge Discovery Based on the Analysis of the Feature Ensembles Properties 4 Knowledge Discovery in Dataset 5 Algorithm of the Agent 6 The Outcomes of the Intelligent Agent's Usage 7 Conclusion References Ontology-Based Design of Hybrid Problem Solvers 1 Introduction 2 Proposed Approach 3 Concept of an Action and the Classification of Actions 4 Concept of a Problem and the Classification of Problems 5 Relations Defined on Actions and Concept of Complex Action Plan 6 Concepts of a Class of Actions and a Class of Problems 7 Concept of a Method 8 Specification of Methods and the Concept of a Skill 9 Concepts of a Class of Methods and a Language for Representing Methods 10 Concept of a Problem-Solving Model 11 Concepts of a Problem Solver and a Knowledge Processing Machine 12 Example of the Usage of the Developed Ontologies 13 Conclusion References Ontology-Based Representation of an Artificial Neural Networks 1 Introduction 2 Proposed Approach 3 Subject Domain and the Corresponding Ontology of Artificial Neural Networks 4 Subject Domain and Ontology of Actions for Processing Artificial Neural Networks 4.1 Action for Processing the ANN 4.2 Action for Training the ANN References The Software System for Calculating the Aggregated Forecast of Time Series 1 Introduction 2 Developed Algorithm for Calculating the Aggregated Forecast of Time Series 3 Software System and Experimental Results 3.1 Experiment No1 3.2 Experiment No2 4 Conclusions References Semantic-Based Design of an Adaptive User Interface 1 Introduction 2 Analysis of Existing Approaches 3 Proposed Approach 4 Problem Definition 5 SC-Model of the Knowledge Base 5.1 Subject Domain of User Interfaces 5.2 Subject Domain of User Interface Components 5.3 Subject Domain of Interface User Actions 5.4 Subject Domain of Users 6 SC-Model of the Problem Solver 7 Implementation of the Proposed Approach 8 Technique of Developing UI Components 9 Conclusion References Universal Semantic Markup and Top-Level Ontology Representation 1 Introduction 2 Problem Definition 3 Proposed Approach 4 Lexical Analysis 5 Syntactic Analysis 6 Construction in Terms of TAPAZ-2 7 Integration into the Knowledge Base 8 Conclusion References Ontology-Based Natural Language Texts Generation from Knowledge Base 1 Introduction 2 Analysis of Related Works for Natural Language Generation 3 Proposed Approach 3.1 The System Architecture for Natural Language Generation Component 3.2 The Structure of the Knowledge Base of the Natural Language Interface 3.3 The Structure of the Problem Solver of the Natural Language Interface 4 Implementation of the Proposed Approach 5 Conclusion References .26em plus .1em minus .1emSemantic Approach to User Answer Verification in Intelligent Tutoring Systems 1 Introduction 2 Existing Approaches and Problems 2.1 Ontology Mapping 2.2 Converting Logical Formula to Prenex Normal Form (PNF) 3 Proposed Approach 4 Development of Problem Solver 4.1 SC-Agent for Computing Semantic Similarity of Factual Knowledge 4.2 SC-Agent for Processing Semantic Similarity Calculation Results of Factual Knowledge 4.3 SC-Agent for Computing Semantic Similarity of Logical Knowledge 4.4 SC-Agent for Converting Logical Formula into PNF 5 Conclusion and Further Work References Subsystem for Intelligent Systems' Users Training 1 Introduction 2 Proposed Approach 3 Intelligent Learning Systems 4 Architecture of the Subsystem for Training Users of Intelligent Systems 5 Examples of the Representation of Various Types of Knowledge Within the Framework of the Subsystem for Training Users of Intelligent Systems 5.1 Specification of Users Within the Knowledge Base of the Intelligent Learning Subsystem 5.2 Specification of the System Structure and Principles of Its Operation Within the Knowledge Base 6 Conclusion References A Neural-Symbolic Approach to Computer Vision 1 Introduction 2 Problem Definition 3 General Structure of the Model 3.1 Integration of the Computer Vision Module with the Knowledge Base 4 The Computer Vision Module 4.1 Structure of the Computer Vision Module 4.2 Additional Training for New Unknown Users 5 Semantic Analysis 6 Hardware Architecture 6.1 Single-Board Computer 6.2 Video Camera 6.3 Tensor Processing Unit 7 Conclusion References Ontological Model of Digital Twin in Manufacturing 1 Introduction 2 Standards and Problems of Their Implementation 2.1 Ontologies in Manufacturing 2.2 Digital Twin: Specifications and Standards 2.3 ISA-88, ISA-95, and the Classification of Lower-Level Equipment 2.4 ISA-5.1 Representation Standard of Lower-Level Equipment 2.5 Choice Justification of the Concept for Building a Production Model 3 Ontological Model of the ISA-5.1 Standard on OSTIS 3.1 General Principles of Building a Lower-Level Model 3.2 Content of the KB 3.3 Hierarchy of Subject Domains 3.4 Description of a Particular Concept, Its Relations with Others 4 Examples of the System of Formulating Operation with the Display of Information in Natural Languages 5 Conclusion References The Approach to the Evaluation of Telecommunications Company Functioning Quality 1 Introduction 2 State of Art and Background 2.1 Customer Relationship Management and Strategies to Prevent Customer Churn in Telecom Communications 2.2 Overview of the Architecture of the OSS/BSS System and the Prospects for Their Development 2.3 Data Mining in Telecommunications 3 The Method of Telecom Operator Data Clustering 4 Modeling and Predicting the Churn of Telecom Operator Subscribers References Methodological and Technical Solutions for the Implementation of Clustering Algorithms in the GeoBazaDannych System 1 Introduction 2 Brief Information About the Software System GeoBazaDannych 3 Preparation of Source Data 4 Tools, Examples of Cluster Analysis of Geodata 4.1 Effects of the Number of Clusters 4.2 Effects of the Accepted Clustering Method 4.3 The Impact of the Metric 5 Influence of XYZ-Accounting for Values in Points 6 Conclusion References An Approach to Ontology-Based Smart Search in E-commerce 1 Introduction 2 Ontology Based Search System 2.1 Query String Preprocessing 2.2 Forming Logical Conditions and Determine Classes 2.3 Synchronizing the Inference Engine and Forming List of Products 2.4 Example of How the Proposed Approach Works 3 Information System Developed During the Research 4 Experimental Results 5 Conclusion References Linking FrameNet to Russian Resources 1 Introduction 2 Related Work 3 FrameNet Structure 4 Linking Russian Words to FrameNet via WordNet 4.1 RuWordNet and Its Links to WordNet 4.2 Results of Linking Russian Words to FrameNet via PredicateMatrix and Wordnets 5 Linking Russian Words to FrameNet via Parallel Corpus 5.1 Training Models for Identification of Lexical Items and Frames in English 5.2 Semantic Frame Identification 5.3 Implementation and Results 5.4 Translation of Annotations from English into Russian in a Parallel Corpus 5.5 Characteristics and Evaluation of the Resulting Corpus 5.6 Training and Testing Model for Identification of Lexical Units and Frames in Russian 6 Linking FrameNet and Russian FrameBank 6.1 FrameBank Structure 6.2 Methods for Linking FrameNet and FrameBank 7 Conclusion References Author Index