Regional enterprise architecture (EA) modeling for systemic development of city's ICT
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The document discusses the regional enterprise architecture (EA) modeling for the systematic development of ICT in urban environments, focusing on methodologies and tools necessary for effective city management. It outlines the implementation of the 'Information City' program in Moscow and the integration of various ICT systems to improve quality of life for residents and enhance government efficiency. The conclusions highlight ongoing development and feedback collection related to regional EA models and their impact on city processes and information systems.
Regional enterprise architecture (EA) modeling for systemic development of city's ICT
- 1. Regional enterprise architecture (EA) modeling for systemic development of city's ICT (рус. Моделирование комплексов городского хозяйства для системного развития средств ИКТ города) Kostyrko Artem1, Kudryavtsev Dmitry 2,3, Grigoriev Lev2, Kislova Valentina2, Zhulin Andrey1, Sinyatullina Leila1, Ermakov Roman4 1 NRU HSE, 2 Business Engineering Group, 3 NRU SPbSPU, 4 КТЕ Labs.
- 2. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Agenda 1. The role of regional EA modeling for systemic ICT development 2. Regional EA modeling methodology 3. Decision support / reference system for systemic (consistent) ICT development 4. Related work 5. Conclusions
- 3. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Information city 2011-2016 Program Development of advertising and mass media Program Implementation Management Building public ICT environment Creation of the Intelligent City Management System ICT Development aimed at improving city inhabitants quality of life and facilitating business conduct Quality of life High-level infrastructure Efficient government Information city 2011-2016 Program Moscow city strategic goals
- 4. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Program Implementation Management Carrying out integrated analysis and assessment of applicability and relevancy of the existing Moscow city information systems and resources 1. Integrated simulation of the processes of implementation of functions of Moscow city authorities and institutions, and description of their targeted state 2. Development of the risk management system, including development of the package of risk prevention measures 3. KEY FIGURE DEVELOPMENT OF THE SYSTEMIC PROJECT OF THE PROGRAM IMPLEMENTATION 4. • The share of Moscow city information systems and resources meeting the system project requirements: 100% by 2016 1. Developing requirements to the solution architecture within the framework of the systemic project of the Program implementation Developing of training methodology and vocational training of state civil officials and employees of Moscow city institutions; creating and providing methodological component of the technology training center activity 2. 3. Development and execution of public control and technical supervision procedures
- 5. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Models within systemic project Process and performance model Information modelOrganizational structure model Information system model Public function Business area Line of business City process Outcome Output Indicators Government authorities Lower organizations Positions Information entity Attributes Domains Business entity Information resources (register, repository, database…) Information system (IS) IS functions IS passports Interfaces Informatizationactivities (program“Informationcity”)
- 6. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Systemic project ontology
- 7. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Онтология для моделирования комплексов городского хозяйства (фрагмент иерархии классов) 7
- 8. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Онтология для моделирования комплексов городского хозяйства (свойства классов) 8
- 9. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Decision support / Reference system Portal Project and performance management system IS audit IS Modeler Projects and KPIs which are related to government authorities and IS IS passports Comments and moderation Semi-automatic amendment System architecture
- 10. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Modeler Ontology-based enterprise model editor Ontology-based enterprise model Reporting and query module Documents Diagrams (visual, svg) Modeling process wizard Integration wizard Diagram editor Query results Semi- structured data OWL XML
- 11. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Structure of the model Classifier Matrix
- 12. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Classifier example: City processes
- 13. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Classifier example: Information resources
- 14. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Matrix example: Organizational structure - City processes Matrix examples: • What processes are controlled by authority (Organizational structure - City processes) • What information resources are used by the process (City processes – Information resources) • What information resources are used by the authority (Organizational structure – Information resources)
- 15. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Matrix example: Outcomes (Values) – City processes
- 16. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Metamodeling language - ORLAN (ORganizational LANguage) This language allows to structure, represent and query enterprise model. ORLAN :: = <TYPES, CL, MX, InferPR, D, TASKS, SPEC >, where: TYPES – types descriptions, which specify the CLASSES, RELATIONSHIPS AND PROPERTIES of enterprise ontology, together with their taxonomies, CL – classifier, the representation format for entities, hierarhical relationships between them and values for the properties of entities (including ontological types). Hierarchy is the main feature of classifies and the main relationship types are “part-of ”, “class-subclass”, “be subordinated to” etc. MX – matrix (or table), the representation format for relationships between entities from classifiers. Example relationship types are “perform”, “help achieve” etc. InferMX – inference matrix, allows to infer implicit knowledge via transitive property of relationships in several matrixes, D – modeling domains (activities, norms, information resources, etc), TASKS – enterprise engineering method specification, SPEC – views specifications.
- 17. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Classes (metamodel)
- 18. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Outputs from the model: analytical reports This data is not recorded by any government authority yet This data is already recorded by another government authority 8
- 19. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Data is recorded in several information resources (repositories) by different authorities 9 Outputs from the model: diagrams
- 20. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Portal – the tool for final users Main users: • managers of department of information technologies of Moscow city, • government authorities managers, responsible for informatization Future: Public
- 21. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Portal examples: line of business key activities
- 22. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Portal examples: Public function passport
- 23. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Portal examples: Public function context diagram
- 24. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Portal examples: Faceted search
- 25. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Related work Enterprise architecture research and practice Traditional methodologies: • NGOSS (англ. New Generation Operations Support System) from TMForum, • FEA — Federal enterprise architecture, • Business Systems Planning (BSP)— Information Systems Planning Guide, IBM Corporation. Semantic methods and tools: Allemang D., Polikoff I. , Hodgson R. Enterprise Architecture Reference Modeling in OWL/RDF // International Semantic Web Conference, 2005. — P. 844–857.
- 26. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Conclusions • Regional enterprise architecture (EA) modeling supports systemic development of city's ICT (explicit link between outcomes, city processes and information systems), • Currently we are creating regional enterprise architecture models and collecting feedback, • Work in progress.
- 27. NRU HSE, Business Engineering Group, NRU SPbSPU, КТЕ Labs Publications 1. Моделирование комплексов городского хозяйства для системного развития ИКТ города // Костырко А., Кудрявцев Д., Григорьев Л., Кислова В., Жулин А., Синятуллина Л., Ермаков Р. // Сборник трудов конференции «Инженерия знаний и технологии семантического веба - 2012», 1-9 октября 2012, г. Санкт-Петербург, Россия. СПб: СПбГУ ИТМО, 2012. – С. 81-88. 2. Административное моделирование на основе онтологий // Кудрявцев Д. В., Григорьев Л. Ю., Кислова В. В., Жулин А. Б. // Вопросы государственного и муниципального управления. – 2009. № 1. – с. 157-169. 3. Технология наполнения баз знаний онтологического типа // Григорьев Л. Ю., Заблоцкий А. А., Кудрявцев Д. В. // Журнал «Научно-технические ведомости СПбГПУ. Серия «Информатика. Телекоммуникации. Управление». №3. 2012. – С. 27–36. 4. Организационное проектирование на основе онтологий: методология и система ОРГ- Мастер // Григорьев Л. Ю., Кудрявцев Д. В. // Журнал «Научно-технические ведомости СПбГПУ. Серия «Информатика. Телекоммуникации. Управление». №1. 2012. – С. 21–28. 5. Ontology-based business architecture engineering technology // Kudryavtsev, D., Grigoriev, L. // The 10th International Conference on Intelligent Software Methodologies, Tools and Techniques, September 28-30, 2011. P. 233-252. 27
- 28. Thanks! Questions? Kostyrko Artem1, Kudryavtsev Dmitry 2,3, Grigoriev Lev2, Kislova Valentina2, Zhulin Andrey1, Sinyatullina Leila1, Ermakov Roman4 1 NRU HSE artem.kost@gmail.com, a.zhulin@gmail.com, l.sinyatullina@gmail.com. 2 «Business Engineering Group», dmitry.ku@gmail.com, griglev@gmail.com, valya@big.spb.ru. 3 SPbSPU 4 КТЕ Labs, roman.ermakov@gmail.com.