The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia.    The publications within "Advances in Intelligent Systems and Computing" are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.   Indexed by DBLP, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST), SCImago.  All books published in the series are submitted for consideration in Web of Science.

Advances in Intelligent Systems and Computing

Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, natural language processing, human-computer interaction, linguistics, and Deaf culture. Despite the need for deep interdisciplinary knowledge, existing research occurs in separate disciplinary silos, and tackles separate portions of the sign language processing pipeline. This leads to three key questions: 1) What does an interdisciplinary view of the current landscape reveal? 2) What are the biggest challenges facing the field? and 3) What are the calls to action for people working in the field? To help answer these questions, we brought together a diverse group of experts for a two-day workshop. This paper presents the results of that interdisciplinary workshop, providing key background that is often overlooked by computer scientists, a review of the state-of-the-art, a set of pressing challenges, and a call to action for the research community.

https://dl.acm.org/doi/pdf/10.1145/3308561.3353774

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

The approach to the development of intelligent decision support systems using ontology knowledge bases consisting of such systems in the article is considered. The classification of such systems in terms of their operation based on ontologies is carried out. The mathematical functioning of intelligent decision support systems and intelligent search system based on ontology is developed. The notion of adaptive ontologies is introduced. An adaptive ontology is proposed to define as an ontology with concepts and relations weighted according to its importance for a given subject domain. This model of ontology defines not only explicit, but also implicit knowledge. The mathematical functioning of intelligent decision support systems using adaptive ontologies formalizes decision making of such a system. Semantic metric based on adaptive ontologies was built, unlike other metrics, takes into account the causal relation between the concepts, not just their taxonomy. For feature problems mathematical software based on automated determination of properties of set concepts was developed, according to the values which the process of decision support was carried out.

Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology

In the given article content is support method as the content lifecycle stage in Web systems is proposed. The model describes the processes of information resources processing in the electronic business systems and simplifies the content automation support technology. In the given paper the main problems of e-commerce and content function management services are analyzed. The proposed method gives an opportunity to create an instrument of information resources processing and to implement the module of Web content support.

/pdf/web-content-support-method-in-electronic-business-systems-3mcyk1i19s.pdf

Web Content Support Method in Electronic Business Systems.

Machine Translation using Semantic Web Technologies: A Survey

In the given article content lifecycle support method in Web systems is proposed. The uniform method realizes information resources processing in the Web systems and simplifies the information technology of Web content automation management. In the given paper the main problems Web content function and management services in Web systems are analyzed. In this article, the authors proposed to apply the technique of content analysis of textual information in e-commerce systems for the automation of e-business and decision making by the appropriate person.

/pdf/uniform-method-of-operative-content-management-in-web-28ywbmiueg.pdf

Uniform Method of Operative Content Management in Web Systems.

The information system for translation into sign language on mobile devices is discussed. The system comprises of dictionaries, ontology database, weighted affix context-free grammar (WACFG) parser, algorithm for transformation of constituency tree into dependency tree, and an algorithm for synthesis of Ukrainian sign language glosses. Simple video sequencing is utilized for sign language synthesis, however any other sign animation tool can be used. Tasks that require further research are defined.

Information system for translation into ukrainian sign language on mobile devices

This paper introduces the mathematical method for translation into sign language based on ontologies. The modification of affix context-free grammar (AGFL) that adds semantical attribute and a new form of production called the “template production” is discussed. This new form helps to represent ontology-based productions in a short and computationally inexpensive way. The mathematical method utilizes dictionaries, ontology database, weighted affix context-free grammar (WACFG) parser, algorithm for transformation of constituency tree into dependency tree, and an algorithm for synthesis of Ukrainian sign language glosses. The algorithm for selection and convertion of grammatically augmented ontology (GAO) expressions into the set of WACFG productions is suggested. The major increase in percentage of correctly parsed sentences was achieved for Ukrainian sign language (UKL) and Ukrainian spoken language (USpL). All algorithms are components of the translation system for Ukrainian sign language. Simple video sequencing is utilized for sign language synthesis, however any other sign animation tool can be used. Tasks that require further research are defined.

Mathematical Method of Translation into Ukrainian Sign Language Based on Ontologies

In the article, the linguistic models of assistive multimedia and communication information technologies are considered. General principles of assistive computer technologies (ACT) are analyzed and the prospects of modeling assistive technologies using linguistic models are studied. A new mathematical model of language is proposed to take into account the structure of messages that are processed by means of assistive technologies. The assistive technologies are classified by the linguistic level they operate on: alphabet, vocabulary, grammatical or semantic level. Tasks that require further research are defined.

Olga Lozynska

Papers

Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology

Uniform Method of Operative Content Management in Web Systems.

Information system for translation into ukrainian sign language on mobile devices

Mathematical Method of Translation into Ukrainian Sign Language Based on Ontologies

Linguistic models of assistive computer technologies for cognition and communication