Head of the scientific laboratory of Semantic analysis and integration of the Plekhanov Russian University of Economics. I have experience in research and development in the field of information systems for about 40 years. I graduated PhD in 2006. I have two higher educations: radio engineering (1982); economics and business management (2002). Published more than 60 scientific papers, obtained copyright certificates for four inventions.
Communications in computer and information science, 2019
The leaders of digitalization are developing digital government as a platform that stimulates pub... more The leaders of digitalization are developing digital government as a platform that stimulates public-private partnerships in the creation of innovative applications and services. The primary and permanent core of this platform is data, and it is the data ready for the information sharing and the provision of seamless public services. Growing digital world has formed the culture of interaction between government and society based on Open Data. The great importance has the ability of consumers to understand the meaning (semantics) determined by the provider, which is essential for the publication of Linked Open Data. The application and dissemination of data models serve for adequate semantic interpretation during information sharing and aim to achieve semantic interoperability. Both data-centric and model-oriented approaches are fundamental for the digital transformation of public administration. In this paper, we give a brief review of the leading countries digitalization experience and use it to outline the criteria characterizing the implementation of a data-centric paradigm. We have conducted the study showing if Russian e-government is ready for the digitalization in terms of the following areas: (1) the practice of information sharing; (2) the preconditions for the shift to a data-centric and model-oriented paradigm; (3) the regulatory barriers of digital transformation. We believe that the lack of data-centricity can become a serious obstacle to fulfill the plans of the “Digital Economy of Russian Federation” program. Therefore, we give some recommendations to introduce the data-centric approach that would enable the use of disruptive digital technologies and support the development of digital government in Russia.
This paper assesses of the current state of e-government in Russia and represents prospected tren... more This paper assesses of the current state of e-government in Russia and represents prospected trends such as digitalization and the transition to "smart" government. The authors suggest an approach to digital transformation of Russian e-government. The importance of interoperability (the ability to interact) as the key enabler for information sharing and cross boarder interaction in EAEU is emphasized and the objectives for each interoperability level are formulated. This list of actions is suggested to be included into the Roadmap of Russian e-government development in order to achieve interoperability. The authors consider this integrative approach to be a big step towards the digital government in the Russian Federation.
Communications in computer and information science, 2020
Essential for digitalization all-as-a-service model causes the shift of state priorities from a s... more Essential for digitalization all-as-a-service model causes the shift of state priorities from a simple provision of public information to the delivery of high-quality and efficient public services. This aspect brings a particular importance to the reengineering of public administration procedures aiming to provide public services at a new level. In this paper we propose the approach to the design and modernization of public services, as well as related business processes, which combines existing modeling methods with the enterprise architecture frameworks to ensure semantic interoperability not only at the data models level but using executable models of public service. We represent the method of public services development as semantic business processes in the context of enterprise architecture together with the results of its pilot implementation and evaluation.
9th International Conference "Distributed Computing and Grid Technologies in Science and Education", Dec 13, 2021
This paper presents the technology developed by the authors with the aim to improve the semantic ... more This paper presents the technology developed by the authors with the aim to improve the semantic interoperability in heterogeneous environment, where the systems use web-services orchestrated by an object-oriented exchange bus for cross-agency interaction and information sharing. The suggested solution, including the set of tools, allows to map the models of interacting information systems with a unified data model (domain otology) on the semantic level during the development of an information exchange package.
Communications in Computer and Information Science, 2019
The leaders of digitalization are developing digital government as a platform that stimulates pub... more The leaders of digitalization are developing digital government as a platform that stimulates public-private partnerships in the creation of innovative applications and services. The primary and permanent core of this platform is data, and it is the data ready for the information sharing and the provision of seamless public services. Growing digital world has formed the culture of interaction between government and society based on Open Data. The great importance has the ability of consumers to understand the meaning (semantics) determined by the provider, which is essential for the publication of Linked Open Data. The application and dissemination of data models serve for adequate semantic interpretation during information sharing and aim to achieve semantic interoperability. Both data-centric and model-oriented approaches are fundamental for the digital transformation of public administration. In this paper, we give a brief review of the leading countries digitalization experience and use it to outline the criteria characterizing the implementation of a data-centric paradigm. We have conducted the study showing if Russian e-government is ready for the digitalization in terms of the following areas: (1) the practice of information sharing; (2) the preconditions for the shift to a data-centric and model-oriented paradigm; (3) the regulatory barriers of digital transformation. We believe that the lack of data-centricity can become a serious obstacle to fulfill the plans of the “Digital Economy of Russian Federation” program. Therefore, we give some recommendations to introduce the data-centric approach that would enable the use of disruptive digital technologies and support the development of digital government in Russia.
Essential for digitalization all-as-a-service model causes the shift of state priorities from a s... more Essential for digitalization all-as-a-service model causes the shift of state priorities from a simple provision of public information to the delivery of high-quality and efficient public services. This aspect brings a particular importance to the reengineering of public administration procedures aiming to provide public services at a new level. In this paper we propose the approach to the design and modernization of public services, as well as related business processes, which combines existing modeling methods with the enterprise architecture frameworks to ensure semantic interoperability not only at the data models level but using executable models of public service. We represent the method of public services development as semantic business processes in the context of enterprise architecture together with the results of its pilot implementation and evaluation.
The application of semantic integration methods faces challenges arising at collaboration between... more The application of semantic integration methods faces challenges arising at collaboration between ITspecialists and domain experts during the model building stage. These challenges can affect the correctness of domain formalization as well as the whole outcome of the integration in distributed information systems. To overcome the lack of semantic interoperability we suggest the creation of a collaborative platform which provides the (re)use of semantic assets (SA) for further semantic integration. The analysis of the limitations existing in SA management standards leads the authors to propose the collaborative approach, based on an extended lifecycle of semantic assets. The authors consider the implementation of the platform based on the Asset Description Metadata schema extension to be a rational option.
The main objective of digital transformation is to fulfi ll the needs of a "new digital generatio... more The main objective of digital transformation is to fulfi ll the needs of a "new digital generation customer" for on-demand delivery, quality and personalization. "Anything as a service" has become the key principle of the digital paradigm. This is about a data-oriented service which relies on sharing information resources (including public ones) and the requirements for interoperability, security and trust. This paper presents the main approaches to digital transformation based on the example of the most innovatively active sectors such as banking and healthcare. We compare the proprietary development of digital services (products) to the building of a digital sector ecosystem aimed at attracting an unlimited number of participants. We defi ned the purpose of creating an ecosystem that is to provide the population with digital services formed on demand, in real time, in compliance with legislation and regulations, as well as in the context of maximum trust. We emphasize the role of openness for uniting the eff orts of the community interested in the development of a digital industry, extension of public-private partnerships and building a competitive environment in order to ensure the rapid growth of available digital services, as well as to improve their quality. Since the knowledge MODELING OF SOCIAL AND ECONOMIC SYSTEMS
The main objective of digital transformation is to fulfi ll the needs of a "new digital generatio... more The main objective of digital transformation is to fulfi ll the needs of a "new digital generation customer" for on-demand delivery, quality and personalization. "Anything as a service" has become the key principle of the digital paradigm. This is about a data-oriented service which relies on sharing information resources (including public ones) and the requirements for interoperability, security and trust. This paper presents the main approaches to digital transformation based on the example of the most innovatively active sectors such as banking and healthcare. We compare the proprietary development of digital services (products) to the building of a digital sector ecosystem aimed at attracting an unlimited number of participants. We defi ned the purpose of creating an ecosystem that is to provide the population with digital services formed on demand, in real time, in compliance with legislation and regulations, as well as in the context of maximum trust. We emphasize the role of openness for uniting the eff orts of the community interested in the development of a digital industry, extension of public-private partnerships and building a competitive environment in order to ensure the rapid growth of available digital services, as well as to improve their quality. Since the knowledge MODELING OF SOCIAL AND ECONOMIC SYSTEMS
The leaders of digitalization are developing digital government as a platform that stimulates pub... more The leaders of digitalization are developing digital government as a platform that stimulates public-private partnerships in the creation of innovative applications and services. The primary and permanent core of this platform is data, and it is the data ready for the information sharing and the provision of seamless public services. Growing digital world has formed the culture of interaction between government and society based on Open Data. The great importance has the ability of consumers to understand the meaning (semantics) determined by the provider, which is essential for the publication of Linked Open Data. The application and dissemination of data models serve for adequate semantic interpretation during information sharing and aim to achieve semantic interoperability. Both data-centric and model-oriented approaches are fundamental for the digital transformation of public administration. In this paper, we give a brief review of the leading countries digitalization experience...
Proceedings of the International Conference on Electronic Governance and Open Society: Challenges in Eurasia, 2016
This paper assesses of the current state of e-government in Russia and represents prospected tren... more This paper assesses of the current state of e-government in Russia and represents prospected trends such as digitalization and the transition to "smart" government. The authors suggest an approach to digital transformation of Russian e-government. The importance of interoperability (the ability to interact) as the key enabler for information sharing and cross boarder interaction in EAEU is emphasized and the objectives for each interoperability level are formulated. This list of actions is suggested to be included into the Roadmap of Russian e-government development in order to achieve interoperability. The authors consider this integrative approach to be a big step towards the digital government in the Russian Federation.
Аbstract The main objective of digital transformation is to fulfi ll the needs of a "new digital ... more Аbstract The main objective of digital transformation is to fulfi ll the needs of a "new digital generation customer" for on-demand delivery, quality and personalization. "Anything as a service" has become the key principle of the digital paradigm. This is about a data-oriented service which relies on sharing information resources (including public ones) and the requirements for interoperability, security and trust. This paper presents the main approaches to digital transformation based on the example of the most innovatively active sectors such as banking and healthcare. We compare the proprietary development of digital services (products) to the building of a digital sector ecosystem aimed at attracting an unlimited number of participants. We defi ned the purpose of creating an ecosystem that is to provide the population with digital services formed on demand, in real time, in compliance with legislation and regulations, as well as in the context of maximum trust. We emphasize the role of openness for uniting the eff orts of the community interested in the development of a digital industry, extension of public-private partnerships and building a competitive environment in order to ensure the rapid growth of available digital services, as well as to improve their quality. Since the knowledge MODELING OF SOCIAL AND ECONOMIC SYSTEMS
Cross-agency Information sharing is a basic feature of digital economy in public sector. Heteroge... more Cross-agency Information sharing is a basic feature of digital economy in public sector. Heterogeneous environment is inherent for the public sector as well as for other industries, which are ready to digital transformations. The application of integration methods should guarantee the achievement of unambiguous meaningful interpretation of data. The article represents comparative analysis of basic integration approaches: (1) classic interaction via mediators, (2) integrated data model (XML-based models implementation) and (3) semantic integration. We defined the advantages of semantic integration and confirmed the possibility to use semantic core as a basis for a digital health ecosystem. We implemented the example of semantic integration in healthcare within the project of Plekhanov Russian University of Economics named the "Center of semantic integration".
The application of semantic integration methods faces challenges arising at collaboration between... more The application of semantic integration methods faces challenges arising at collaboration between IT-specialists and domain experts during the model building stage. These challenges can affect the correctness of domain formalization as well as the whole outcome of the integration in distributed information systems. To overcome the lack of semantic interoperability we suggest the creation of a collaborative platform which provides the (re)use of semantic assets (SA) for further semantic integration. The analysis of the limitations existing in SA management standards leads the authors to propose the collaborative approach, based on an extended lifecycle of semantic assets. The authors consider the implementation of the platform based on the Asset Description Metadata schema extension to be a rational option.
Communications in computer and information science, 2019
The leaders of digitalization are developing digital government as a platform that stimulates pub... more The leaders of digitalization are developing digital government as a platform that stimulates public-private partnerships in the creation of innovative applications and services. The primary and permanent core of this platform is data, and it is the data ready for the information sharing and the provision of seamless public services. Growing digital world has formed the culture of interaction between government and society based on Open Data. The great importance has the ability of consumers to understand the meaning (semantics) determined by the provider, which is essential for the publication of Linked Open Data. The application and dissemination of data models serve for adequate semantic interpretation during information sharing and aim to achieve semantic interoperability. Both data-centric and model-oriented approaches are fundamental for the digital transformation of public administration. In this paper, we give a brief review of the leading countries digitalization experience and use it to outline the criteria characterizing the implementation of a data-centric paradigm. We have conducted the study showing if Russian e-government is ready for the digitalization in terms of the following areas: (1) the practice of information sharing; (2) the preconditions for the shift to a data-centric and model-oriented paradigm; (3) the regulatory barriers of digital transformation. We believe that the lack of data-centricity can become a serious obstacle to fulfill the plans of the “Digital Economy of Russian Federation” program. Therefore, we give some recommendations to introduce the data-centric approach that would enable the use of disruptive digital technologies and support the development of digital government in Russia.
This paper assesses of the current state of e-government in Russia and represents prospected tren... more This paper assesses of the current state of e-government in Russia and represents prospected trends such as digitalization and the transition to "smart" government. The authors suggest an approach to digital transformation of Russian e-government. The importance of interoperability (the ability to interact) as the key enabler for information sharing and cross boarder interaction in EAEU is emphasized and the objectives for each interoperability level are formulated. This list of actions is suggested to be included into the Roadmap of Russian e-government development in order to achieve interoperability. The authors consider this integrative approach to be a big step towards the digital government in the Russian Federation.
Communications in computer and information science, 2020
Essential for digitalization all-as-a-service model causes the shift of state priorities from a s... more Essential for digitalization all-as-a-service model causes the shift of state priorities from a simple provision of public information to the delivery of high-quality and efficient public services. This aspect brings a particular importance to the reengineering of public administration procedures aiming to provide public services at a new level. In this paper we propose the approach to the design and modernization of public services, as well as related business processes, which combines existing modeling methods with the enterprise architecture frameworks to ensure semantic interoperability not only at the data models level but using executable models of public service. We represent the method of public services development as semantic business processes in the context of enterprise architecture together with the results of its pilot implementation and evaluation.
9th International Conference "Distributed Computing and Grid Technologies in Science and Education", Dec 13, 2021
This paper presents the technology developed by the authors with the aim to improve the semantic ... more This paper presents the technology developed by the authors with the aim to improve the semantic interoperability in heterogeneous environment, where the systems use web-services orchestrated by an object-oriented exchange bus for cross-agency interaction and information sharing. The suggested solution, including the set of tools, allows to map the models of interacting information systems with a unified data model (domain otology) on the semantic level during the development of an information exchange package.
Communications in Computer and Information Science, 2019
The leaders of digitalization are developing digital government as a platform that stimulates pub... more The leaders of digitalization are developing digital government as a platform that stimulates public-private partnerships in the creation of innovative applications and services. The primary and permanent core of this platform is data, and it is the data ready for the information sharing and the provision of seamless public services. Growing digital world has formed the culture of interaction between government and society based on Open Data. The great importance has the ability of consumers to understand the meaning (semantics) determined by the provider, which is essential for the publication of Linked Open Data. The application and dissemination of data models serve for adequate semantic interpretation during information sharing and aim to achieve semantic interoperability. Both data-centric and model-oriented approaches are fundamental for the digital transformation of public administration. In this paper, we give a brief review of the leading countries digitalization experience and use it to outline the criteria characterizing the implementation of a data-centric paradigm. We have conducted the study showing if Russian e-government is ready for the digitalization in terms of the following areas: (1) the practice of information sharing; (2) the preconditions for the shift to a data-centric and model-oriented paradigm; (3) the regulatory barriers of digital transformation. We believe that the lack of data-centricity can become a serious obstacle to fulfill the plans of the “Digital Economy of Russian Federation” program. Therefore, we give some recommendations to introduce the data-centric approach that would enable the use of disruptive digital technologies and support the development of digital government in Russia.
Essential for digitalization all-as-a-service model causes the shift of state priorities from a s... more Essential for digitalization all-as-a-service model causes the shift of state priorities from a simple provision of public information to the delivery of high-quality and efficient public services. This aspect brings a particular importance to the reengineering of public administration procedures aiming to provide public services at a new level. In this paper we propose the approach to the design and modernization of public services, as well as related business processes, which combines existing modeling methods with the enterprise architecture frameworks to ensure semantic interoperability not only at the data models level but using executable models of public service. We represent the method of public services development as semantic business processes in the context of enterprise architecture together with the results of its pilot implementation and evaluation.
The application of semantic integration methods faces challenges arising at collaboration between... more The application of semantic integration methods faces challenges arising at collaboration between ITspecialists and domain experts during the model building stage. These challenges can affect the correctness of domain formalization as well as the whole outcome of the integration in distributed information systems. To overcome the lack of semantic interoperability we suggest the creation of a collaborative platform which provides the (re)use of semantic assets (SA) for further semantic integration. The analysis of the limitations existing in SA management standards leads the authors to propose the collaborative approach, based on an extended lifecycle of semantic assets. The authors consider the implementation of the platform based on the Asset Description Metadata schema extension to be a rational option.
The main objective of digital transformation is to fulfi ll the needs of a "new digital generatio... more The main objective of digital transformation is to fulfi ll the needs of a "new digital generation customer" for on-demand delivery, quality and personalization. "Anything as a service" has become the key principle of the digital paradigm. This is about a data-oriented service which relies on sharing information resources (including public ones) and the requirements for interoperability, security and trust. This paper presents the main approaches to digital transformation based on the example of the most innovatively active sectors such as banking and healthcare. We compare the proprietary development of digital services (products) to the building of a digital sector ecosystem aimed at attracting an unlimited number of participants. We defi ned the purpose of creating an ecosystem that is to provide the population with digital services formed on demand, in real time, in compliance with legislation and regulations, as well as in the context of maximum trust. We emphasize the role of openness for uniting the eff orts of the community interested in the development of a digital industry, extension of public-private partnerships and building a competitive environment in order to ensure the rapid growth of available digital services, as well as to improve their quality. Since the knowledge MODELING OF SOCIAL AND ECONOMIC SYSTEMS
The main objective of digital transformation is to fulfi ll the needs of a "new digital generatio... more The main objective of digital transformation is to fulfi ll the needs of a "new digital generation customer" for on-demand delivery, quality and personalization. "Anything as a service" has become the key principle of the digital paradigm. This is about a data-oriented service which relies on sharing information resources (including public ones) and the requirements for interoperability, security and trust. This paper presents the main approaches to digital transformation based on the example of the most innovatively active sectors such as banking and healthcare. We compare the proprietary development of digital services (products) to the building of a digital sector ecosystem aimed at attracting an unlimited number of participants. We defi ned the purpose of creating an ecosystem that is to provide the population with digital services formed on demand, in real time, in compliance with legislation and regulations, as well as in the context of maximum trust. We emphasize the role of openness for uniting the eff orts of the community interested in the development of a digital industry, extension of public-private partnerships and building a competitive environment in order to ensure the rapid growth of available digital services, as well as to improve their quality. Since the knowledge MODELING OF SOCIAL AND ECONOMIC SYSTEMS
The leaders of digitalization are developing digital government as a platform that stimulates pub... more The leaders of digitalization are developing digital government as a platform that stimulates public-private partnerships in the creation of innovative applications and services. The primary and permanent core of this platform is data, and it is the data ready for the information sharing and the provision of seamless public services. Growing digital world has formed the culture of interaction between government and society based on Open Data. The great importance has the ability of consumers to understand the meaning (semantics) determined by the provider, which is essential for the publication of Linked Open Data. The application and dissemination of data models serve for adequate semantic interpretation during information sharing and aim to achieve semantic interoperability. Both data-centric and model-oriented approaches are fundamental for the digital transformation of public administration. In this paper, we give a brief review of the leading countries digitalization experience...
Proceedings of the International Conference on Electronic Governance and Open Society: Challenges in Eurasia, 2016
This paper assesses of the current state of e-government in Russia and represents prospected tren... more This paper assesses of the current state of e-government in Russia and represents prospected trends such as digitalization and the transition to "smart" government. The authors suggest an approach to digital transformation of Russian e-government. The importance of interoperability (the ability to interact) as the key enabler for information sharing and cross boarder interaction in EAEU is emphasized and the objectives for each interoperability level are formulated. This list of actions is suggested to be included into the Roadmap of Russian e-government development in order to achieve interoperability. The authors consider this integrative approach to be a big step towards the digital government in the Russian Federation.
Аbstract The main objective of digital transformation is to fulfi ll the needs of a "new digital ... more Аbstract The main objective of digital transformation is to fulfi ll the needs of a "new digital generation customer" for on-demand delivery, quality and personalization. "Anything as a service" has become the key principle of the digital paradigm. This is about a data-oriented service which relies on sharing information resources (including public ones) and the requirements for interoperability, security and trust. This paper presents the main approaches to digital transformation based on the example of the most innovatively active sectors such as banking and healthcare. We compare the proprietary development of digital services (products) to the building of a digital sector ecosystem aimed at attracting an unlimited number of participants. We defi ned the purpose of creating an ecosystem that is to provide the population with digital services formed on demand, in real time, in compliance with legislation and regulations, as well as in the context of maximum trust. We emphasize the role of openness for uniting the eff orts of the community interested in the development of a digital industry, extension of public-private partnerships and building a competitive environment in order to ensure the rapid growth of available digital services, as well as to improve their quality. Since the knowledge MODELING OF SOCIAL AND ECONOMIC SYSTEMS
Cross-agency Information sharing is a basic feature of digital economy in public sector. Heteroge... more Cross-agency Information sharing is a basic feature of digital economy in public sector. Heterogeneous environment is inherent for the public sector as well as for other industries, which are ready to digital transformations. The application of integration methods should guarantee the achievement of unambiguous meaningful interpretation of data. The article represents comparative analysis of basic integration approaches: (1) classic interaction via mediators, (2) integrated data model (XML-based models implementation) and (3) semantic integration. We defined the advantages of semantic integration and confirmed the possibility to use semantic core as a basis for a digital health ecosystem. We implemented the example of semantic integration in healthcare within the project of Plekhanov Russian University of Economics named the "Center of semantic integration".
The application of semantic integration methods faces challenges arising at collaboration between... more The application of semantic integration methods faces challenges arising at collaboration between IT-specialists and domain experts during the model building stage. These challenges can affect the correctness of domain formalization as well as the whole outcome of the integration in distributed information systems. To overcome the lack of semantic interoperability we suggest the creation of a collaborative platform which provides the (re)use of semantic assets (SA) for further semantic integration. The analysis of the limitations existing in SA management standards leads the authors to propose the collaborative approach, based on an extended lifecycle of semantic assets. The authors consider the implementation of the platform based on the Asset Description Metadata schema extension to be a rational option.
Uploads
Papers by Yury Akatkin