Auswahl der wissenschaftlichen Literatur zum Thema „Thesaurus-Based Transformation“

This paper describes a method to generate ontologies from glossaries of terms. The proposed method presupposes an evolutionary life cycle based on successive transformations of the original glossary that lead to products of intermediate knowledge representation (dictionary, taxonomy, and thesaurus). These products are characterized by an increase in semantic expressiveness in comparison to the product obtained in the previous transformation, with the ontology as the end product. Although this method has been applied to produce an ontology from the “IEEE Standard Glossary of Software Engineering Terminology,” it could be applied to any glossary of any knowledge domain to generate an ontology that may be used to index or search for information resources and documents stored in libraries or on the Semantic Web.

Theoretical and methodological base of the research includes socio-demographic, thesaurus and generational approaches. Scientific and methodical base of the research is a survey held in the Volga Federal District (Republic of Tatarstan) and the North-Western Federal District (Vologda Region). This study reflects the rupture of the family thesaurus, the loss of the authoritarian value system of family relations, which leads to the leveling of responsibility, distortion of the forms of family relations, and orientation to false family values. Transmission of marital and reproductive behavior of Russian men in intergenerational aspect is analyzed on the base of the empiric survey, the role of father in comparative correlation with transmission of value heritage of fatherhood image is discovered. The scientific novelty of the study is to identify, based on the original methodology, problem areas for the implementation of various models of generative behavior of Russian men in the conditions of transformation of family and parenting institutions.

Introduction. The relevance of the study is provoked by the rapid expansion of the educational environment, the emergence of new actors and educational service providers, which indicate changes in the institutional landscape of adult education and the development of educational ecosystems. Both in the world and in Russia, there is a growing demand for bridging the qualification gap and retraining a significant part of adults. Therefore, a comprehensive study of continuing adult education, including formal and informal education, that is inseparable from the demands of the platform economy, is becoming extremely important. There is a tendency to transform the idea of an educational ecosystem for lifelong adult learning into a well-thought-out educational policy. However, the problem is that the scientific and methodological substantiation of the ecosystem approach and the subsequent development of managerial work to develop the quality of human capital education are impossible without a unified terminological language of description.Aim. The article is aimed at theoretical substantiation of the terminological field and interdisciplinary thesaurus modelling of the adult education ecosystem.Methodology and research methods. The methodological basis is framed by evolutionary, systematic and interdisciplinary approaches to analyse adult education with regard to complex socio-economic and digital transformations. Using theoretical methods, such as critical, conceptual, comparative, thematic content analysis of Russian and foreign publications, the authors described the categorical field of the problem under investigation.Results. The authors have found that the conceptual and terminological field of the adult education ecosystem is shaped at the intersection of four disciplinary areas (ecology, economy, education, digital technologies). Based on the results, the authors identified the concepts and categories that reveal the processes in adult education; and proposed the idea of an interdisciplinary thesaurus and its conceptual model. Using the developed thesaurus, the authors gave a theoretical explanation for new phenomena and processes in adult education, carried out comparative analysis of the ecosystem with the traditional system of adult education. The authors define the adult education ecosystem as an open multidimensional self-regulating educational environment, where different types of education (formal, informal, corporate training) integrate via modern digital tools, providing symbiosis and co-evolution of participants, new patterns of links aimed at making a valuable offer for learners.Scientific novelty. For the first time, the idea and model of the interdisciplinary thesaurus have been proposed to describe transformation processes in adult education; the concept of “adult education ecosystem” has been revealed; the peculiarities of the adult education ecosystem in comparison with the traditional education system have been identified. The adult education ecosystem is explained as a theoretical construct, a socio-economic phenomenon and a management paradigm.Practical significance. The proposed thesaurus provides a unified description language that is in demand in pedagogical, managerial and scientific discourses. This is of particular importance for practitioners, designers of educational programmes, methodologists, managers, providers of various educational forms in the context of reforming the national adult education system, synchronising supply and demand in the labour market, developing tools for regulation and support of lifelong learning.

The article is devoted to the development of methodological basis, methodological support and applied tools of digital administration of operational activities, development and transformations of management systems of construction companies. The results of the work together provide a modern methodological system for managing the transformation processes of construction companies in terms of digitalization of the economy. The methodology is implemented in scientific and applied tools for decision-making on the content, tools, diagnostic indicators and the expected result of the transformation of the operating system and organizational structure of the construction company, which carries out and adjusts its activities in a complex multi-project operating field. The conceptual principles of business process renewal, management systems for a construction company based on digitalization (digital administration), which are positioned as a means of achieving competitive advantages in the multi-project field of construction development, are substantiated. The paper identifies the impact of the transformation of modern global socio-economic processes on the methodology of managing innovative business development in a digital economy. The significance of innovations for increasing business efficiency is revealed and the concept of innovation is developed. The content of the main terminological definitions in the form of a terminological thesaurus "transformation of the operating system of a construction company" has been clarified. The influence of the institutional and organizational environment on the innovative development of business in Ukraine is determined. The author 's methodological approach to the formation of the conceptual foundations of the digital economy is substantiated. Principles and roadmap for digital business transformation have been developed. Theoretical and methodological approaches to modeling the information technology architecture of the organization are proposed. The methodology of digital administration of construction stakeholder enterprises introduced in the work combines modern principles of strategic and operational management of enterprises with "cloud" and BIM-technologies, applied embodiments of functional-economic diagnostics, cost-oriented management, object-functional and functional-functional and functional management. with the purpose of their integrated use for the implementation of qualitative transformations of enterprise management systems and the microenvironment of development projects.

The article is devoted to a comparative analysis of popular online dictionaries and an overview of the main tools of these resources to study a language. The use of dictionaries in learning a foreign language is an important step to understanding the language. The effectiveness of this process increases with the use of online dictionaries, which have a lot of tools for improving the educational process. Based on the Alexa Internet resource it was found the most popular online dictionaries: Cambridge Dictionary, Wordreference, Merriam–Webster, Wiktionary, TheFreeDictionary, Dictionary.com, Glosbe, Collins Dictionary, Longman Dictionary, Oxford Dictionary. As a result of the deep analysis of these online dictionaries, we found out they have the next standard functions like the word explanations, transcription, audio pronounce, semantic connections, and examples of use. In propose dictionaries, we also found out the additional tools of learning foreign languages (mostly English) that can be effective. In general, we described sixteen functions of the online platforms for learning that can be useful in learning a foreign language. We have compiled a comparison table based on the next functions: machine translation, multilingualism, a video of pronunciation, an image of a word, discussion, collaborative edit, the rank of words, hints, learning tools, thesaurus, paid services, sharing content, hyperlinks in a definition, registration, lists of words, mobile version, etc. Based on the additional tools of online dictionaries we created a diagram that shows the functionality of analyzed platforms.

The article proposes the authors’ method for assessing the maturity of the customer relationship management system of a company. The purpose of the article is a theoretical refinement of the concept of customer relationship management in terms of expanding the conceptual apparatus and defining the stages of the customer-centric transformation process. The achieve the indicated purpose, the following methods were used: systematisation of existing scientific views on the research topic; analysis and refinement of models for quantitative interpretation of customer and expert survey data; identifying trends in competitive market conditions in terms of customer centricity. The topic is relevant due to several factors: competition based on the aggregate value provided is one of the main ways to compete in the market in current circumstances; the conceptual apparatus used today to analyze customer centricity is neither uniform nor sufficient; established scientific vision of customer-centric transformation does not include the understanding of this process’ levels and stages. The authors of the article created a new thesaurus by proposing to introduce certain concepts of customer-centric transformation and maturity of the customer relationship management system. Maturity factors and levels were analyzed. For practical purposes, existing methods of measuring the maturity of a customer relationship management system are studied, practical recommendations aimed at increasing the level of maturity are prepared, and potential risks are identified. It is demonstrated that the maturity of the customer relationship management system is the level of systemic understanding and practical implementation of the principles of customer-centric transformation.

Development of every world language is influenced by many factors, the most important being historic and social ones. These factors inevitably cause penetration into the recipient language of the new elements, borrowed from their neighbors and partners in the process of communication in different spheres. The dialogue of cultures is based on language practice and takes place all the time. Moreover, the donor language and the receiving language may change roles in the process of historic development. The article focuses on the continuous process of enrichment of European languages by means of borrowing certain elements from speech of their neighbors and foes. At the initial stage borrowed words are received as some alien elements and lack understanding on the part of majority of native population. Socially these borrowings enjoy a higher status than native lexis. However, as the time goes, these elements lose their novelty, and are often adapted to the norms of the recipient language and sometimes they undergo radical transformation. Finally they become part and parcel of the local thesaurus. Nowadays due to globalization of world processes and fast development of high technologies and means of communication linguistic borrowing as the logical consequence of international cooperation has greatly increased in scope and is now an organic part of the global transformation process.

Students from different cultures possess varying levels of skills in learning, remembering, and understanding concepts. Some terms and their explanations may seem easy for one group of students but difficult for another. Therefore, delivering educational content that aligns with student’s learning capabilities is a challenging task based on cultural orientations. This study addresses the learning challenges by developing a Thesaurus Glossary E-learning (TGE) framework method. This study introduces the TGE method which is a multi-language tool with visual associations that adapts to students’ capabilities. It also examines cultural differences and native languages, particularly aiding Arab Native to visualize appropriate terms (thesaurus) and their explanations (glossary) based on students’ learning capabilities. TGE learns from students’ term selection behavior and displays terms at a simple or advanced level that matches their learning ability. Additionally, TGE demonstrated its effectiveness as an e-learning tool, accessible to all students anytime and anywhere. The study analyzed 314 records related to student performance, out of which 114 students were surveyed to evaluate the effectiveness of the TGE method. This work presents TGE as a novel e-learning tool designed to enhance conceptual thinking within the context of modern educational practices during the digital transformation. TGE is based on artificial intelligence algorithms and associative rules that simulate the human brain, establishing logical connections between related key terms and sketching associations among diverse facets of a situation. An experiment was conducted at a private university in the Sultanate of Oman to assess the effectiveness of the proposed TGE tool. TGE was integrated with selected subjects in information systems and used by the students as a resource for e-learning methods and materials. The results show that 85% of students who used TGE improved their performance by 19%. We believe this work could establish a new smart e-learning teaching method and attract modern and digital universities to enhance student learning outcomes linked with conceptual thinking.

This article is devoted to systemizing the stages of online research development in Germany, based on analyzing the reports of the main German-language conference on online research (General online Research Conference). The article focuses on the thematic and methodical evolution of online research since 1995 till the present day, emphasizing the most popular methods and areas of science where using this type of research is widespread. The author describes the history of online research and identifies four stages of online research development in Germany: online research as a method (Stage 1); atomization of subject areas (Stage 2); technological development and methodological improvement (Stage 3); distribution of Big Data (Stage 4). The stages are arranged by year, with systemization based on the thematic and methodical orientation during a particular period. The author analyzes the features of each of the stages in terms of technological innovation. The transformation of traditional offline methods in web space is also considered in the article. Particular attention is paid to the fact that both Russian and German languages have no single conceptual apparatus, and use a very broad list of terms in their specialized literature. This was the motivation behind compiling a terminological thesaurus within this work.

The article describes the history of the formation of world associative lexicography, examines the typology and electronic databases of various associative dictionaries, their meaning and purpose in the context of psycholinguistic studies of the content and ethnocultural specificity of the linguistic consciousness of ethnic groups; gives an interpretation of the terminological apparatus used in the study of cognitive and mental processes of speech activity using associative techniques. Using the example of comparing the contents of two Kazakh associative dictionaries – the Soviet (KRAD-78) and the post-reform period (KAD-2014) – the dynamics of changes in the content of the nuclear zones of linguistic consciousness of two generations of students, participants in mass associative experiments, is demonstrated, which is convincing evidence of the serious research potential of associative lexicography and predicts the prospects of this kind of diachronic associative research. Based on the predicted scientific and socio-cultural significance of diachronic comparative associative studies, the article proposes to create another associative dictionary, expanding the list of stimulus words from 120 to 1000 in order to obtain an associative thesaurus of the Kazakh language, which will reflect a certain transformation of the linguistic consciousness of the ethnic group, and elements of stability of its central nuclear zones.

Cette thèse s’intègre dans le contexte industriel de Orisha Retail Shops, qui propose des caisses enregistreuses et logiciels pour points de vente comme les boulangeries et bureaux de tabac. Ces systèmes génèrent un volume considérable de données sur les ventes, cruciales pour améliorer le suivi opérationnel et la prospection, conférant un avantage concurrentiel significatif à l’entreprise. Le premier problème traité est l’identification précise des activités des points de vente, complexifiée par la liberté de nommage et de catégorisation des produits. Ceci constitue un défi de classification, peu abordé dans la littérature malgré sa pertinence en apprentissage automatique, du fait de la faible qualité intrinsèque des données et des libellés de produits à haute cardinalité. Pour adresser cela, un banc d’essai spécialisé a été conçu pour évaluer les méthodes de classification, mettant en lumière les limites des techniques actuelles, notamment dans l’encodage des données. La seconde contribution, Thesaurus-BT, propose une méthode de classification basée sur un thésaurus construit à partir de connaissances métier, permettant une classification globale et effective des produits. Cette méthode, testée expérimentalement, surpasse les encodeurs traditionnels et a été mise en production chez Orisha Retail Shops. Enfin, la troisième contribution répond aux besoins d’analyse de l’entreprise par la mise en œuvre de la méthode Thesaurus-BT, couplée aux technologies du Web sémantique pour modéliser les concepts et relations non explicitement présents dans les données existantes. Cette approche, complétée par des évaluations empiriques de différentes architectures, démontre le potentiel et les limites de ces technologies dans un usage industriel, offrant une vue d’ensemble sur leur applicabilité et scalabilité dans des scénarios réels
This thesis is set within the industrial context of Orisha Retail Shops, which offers cash registers and software solutions for retail outlets such as bakeries and tobacco shops. These systems generate a significant volume of sales data, crucial for enhancing operational tracking and prospecting, thus providing a substantial competitive advantage to the company. The first issue addressed is the precise identification of retail activities, complicated by the freedom of product naming and categorization. This poses a classification challenge that is rarely discussed in the literature despite its relevance to machine learning, due to the poor intrinsic quality of the data and the high cardinality of product labels. To address this, a specialized benchmark was designed to evaluate classification methods, highlighting the limitations of current techniques, particularly in data encoding. The second contribution, Thesaurus-BT, introduces a classification method based on a thesaurus constructed from industry knowledge, enabling a comprehensive and effective product classification. This method, experimentally tested, surpasses traditional encoders and has been implemented at Orisha Retail Shops.Finally, the third contribution meets company’s analysis needs by implementing the Thesaurus-BT method, paired with semantic web technologies to model concepts and relationships not explicitly present in the existing data. This approach, complemented by empirical evaluations of various architectures, demonstrates the potential and limitations of these technologies inindustrial use, providing an overview of their applicability and scalability in real scenarios

The article is devoted to a comparative analysis of popular online dictionaries and an overview of the main tools of these resources to study a language. The use of dictionaries in learning a foreign language is an important step to understanding the language. The effectiveness of this process increases with the use of online dictionaries, which have a lot of tools for improving the educational process. Based on the Alexa Internet resource it was found the most popular online dictionaries: Cambridge Dictionary, Wordreference, Merriam–Webster, Wiktionary, TheFreeDictionary, Dictionary.com, Glosbe, Collins Dictionary, Longman Dictionary, Oxford Dictionary. As a result of the deep analysis of these online dictionaries, we found out they have the next standard functions like the word explanations, transcription, audio pronounce, semantic connections, and examples of use. In propose dictionaries, we also found out the additional tools of learning foreign languages (mostly English) that can be effective. In general, we described sixteen functions of the online platforms for learning that can be useful in learning a foreign language. We have compiled a comparison table based on the next functions: machine translation, multilingualism, a video of pronunciation, an image of a word, discussion, collaborative edit, the rank of words, hints, learning tools, thesaurus, paid services, sharing content, hyperlinks in a definition, registration, lists of words, mobile version, etc. Based on the additional tools of online dictionaries we created a diagram that shows the functionality of analyzed platforms.