Книга
Business Process Management. 11th International Conference, BPM 2013 Beijing, China, August 26-30, 2013 Proceedings
BPM 2013 was the 11th conference in a series that provides a prestigious forum for researchers and practitioners in the field of business process management (BPM). The conference was organized by Tsinghua University, China, and took place during August 26–30, 2013, in Beijing, China. Compared to previous editions of BPM, this year we noted a lower focus by authors on topics like process modeling, while we also observed a considerable growth of submissions regarding areas like process mining, conformance/compliance checking, and process model matching. The integrated consideration of processes and data remains popular, and novel viewpoints focus, among others, on data completeness in business processes, the modeling and runtime support of event streaming in business processes, and business process architectures.
Petri nets efficiently model both data- and control-flow. Control-flow is either modeled explicitly as flow of a specific kind of data, or implicit based on the data-flow. Explicit modeling of control-flow is useful for well-known and highly structured processes, but may make modeling of abstract features of models, or processes which are highly dynamic, overly complex. Declarative modeling, such as is supported by Declare and DCR graphs, focus on control-flow, but does not specify it explicitly; instead specifications come in the form of constraints on the order or appearance of tasks. In this paper we propose a combination of the two, using colored Petri nets instead of plain Petri nets to provide full data support. The combined approach makes it possible to add a focus on data to declarative languages, and to remove focus from the explicit control-flow from Petri nets for dynamic or abstract processes. In addition to enriching both procedural processes in the form of Petri nets and declarative processes, we also support a flow from modeling only abstract data- and control-flow of a model towards a more explicit control-flow model if so desired. We define our combined approach, and provide considerations necessary for enactment. Our approach has been implemented in CPN Tools 4.
Журналы событий, сохраняемые современными информационными и техническими системами, как правило, содержат достаточно данных для автоматизированного восстановления моделей соответствующих процессов. Разработано множество алгоритмов для построения моделей процессов, проверки соответствия фактического поведения системы модельному, сравнения моделей процессов, и т.д. Однако возможность быстрого анализа выбираемых пользователями частей журнала до сих пор не нашла полноценной реализации. В статье описан метод многомерного хранения журналов событий для извлечения и анализа процессов, основанный на подходе ROLAP. Результатом анализа журнала является направленный невзвешенный граф, представляющий собою сумму возможных последовательностей событий, упорядоченных по вероятности их возникновения с учетом заданных условий. Разработанный инструмент позволяет выполнять совместный анализ моделей подпроцессов, восстановленных из частей журнала путем задания критериев отбора событий и требуемого уровня детализации модели.
This book constitutes the proceedings of the 37th International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2016, held in Toruń, Poland, in June 2016. Petri Nets 2016 was co-located with the Application of Concurrency to System Design Conference, ACSD 2016. The 16 papers including 3 tool papers with 4 invited talks presented together in this volume were carefully reviewed and selected from 42 submissions. Papers presenting original research on application or theory of Petri nets, as well as contributions addressing topics relevant to the general field of distributed and concurrent systems are presented within this volume.
В сборник входят представленные на конференцию работы ведущих научных коллективов по таким актуальным направлениям бизнес-информатики, как: управление знаниями и семантический web; построение эффективной ИТ-инфраструктуры предприятия; разработка и внедрение корпоративных приложений и информационных систем; бизнес-анализ процессов предприятий; управление развитием ИТ-инфраструктуры предприятия; информационная безопасность бизнеса.
Human reasoning uses to distinguish things that do change and things do not. The latter are commonly expressed in the reasoning as objects, which may represent classes or instances, and classes being further divided into concept types and relation types. These became the main issue of knowledge engineering and have been well tractable by computer. The former kind of things, meanwhile, inevitably evokes consideration not only of a ``thing-that-changes'' but also of ``change-of-a-thing'' and thus claims that the change itself be another entity that needs to be comprehended and handled. This special entity, being treated from different perspectives as event, (changeable) state, transformation, process, scenario and the like, remains a controversial philosophical, linguistic and scientific entity and has gained notably less systematic attention by knowledge engineers than non-changing things. In particular, there is no clarity in how to express the change in knowledge engineering -– as some specific concept or relation type, as a statement, or proposition, in which subject is related to predicate(s), or in another way. There seems to be an agreement among the scientists that time has to be related, explicitly or implicitly, to everything we regard as change -– but the way it should be related, and whether this should be exactly the time or some generic property or condition, is also an issue of debate. To bring together the researchers who study representation of change in knowledge engineering both in fundamental and applied aspects, a workshop on Modeling States, Events, Processes and Scenarios (MSEPS 2013) was run on 12 January, 2013, in the framework of the 20th International Conference on Conceptual Structures (ICCS 2013) in Mumbai, India. Seven submissions were selected for presentation that cover major approaches to representation of the change and address such diverse domains of knowledge as biology, geology, oceanography, physics, chemistry and also some multidisciplinary contexts. Concept maps of biological and other transformations were presented by Meena Kharatmal and Nagarjuna Gadiradju. Their approach stems from conceptual graphs of Sowa and represents the vision of change as a particular type of concept or, likely, relation, defined by meaning rather than by formal properties. The work of Prima Gustiene and Remigijus Gustas follows a congenial approach but develops a different notation for representation of the change based on specified actor dependencies in application to business issues concerning privacy-related data. Nataly Zhukova, Oksana Smirnova and Dmitry Ignatov explore the structure of oceanographic data in concern of opportunity of their representation by event ontologies and conceptual graphs. Vladimir Anokhin and Biju Longhinos examine another Earth science, geotectonics, and demonstrate that its long-lasting methodological problems urge application of knowledge engineering methods, primarily engineering of knowledge about events and processes. They suggest a draft of application strategy of knowledge engineering in geotectonics and claim for a joint interdisciplinary effort in this direction. Doji Lokku and Anuradha Alladi introduce a concept of ``purposefulness'' for any human action and suggest a modeling approach based on it in the systems theory context. In this approach, intellectual means for reaching a purpose are regarded either as structure of a system, in which the purpose is achieved, or as a process that takes place in this system. These means are exposed to different concerns of knowledge, which may be either favorable or not to achieving the purpose. The resulting framework perhaps can be described in a conceptual-graph-related way but is also obviously interpretable as a statement-based pattern, more or less resembling the event bush (Pshenichny et al., 2009). This binds all the aforementioned works with the last two contributions, which represent an approach based on understanding of the change as a succession of events (including at least one event), the latter being expressed as a statement with one subject and finite number of predicates. The method of event bush that materializes this approach, previously applied mostly in the geosciences, is demonstrated here in application to physical modeling by Cyril Pshenichny, Roberto Carniel and Paolo Diviacco and to chemical and experimental issues, by Cyril Pshenichny. The reported results and their discussion form an agenda for future meetings, discussions and publications. This agenda includes, though is not limited to, - logical tools for processes modeling, - visual notations for dynamic knowledge representation, - graph languages and graph semantics, - semantic science applications, - event-driven reasoning, - ontological modeling of events and time, - process mining, - modeling of events, states, processes and scenarios in particular domains and interdisciplinary contexts. The workshop has marked the formation of a new sub-discipline in the knowledge engineering, and future effort will be directed to consolidate its conceptual base and transform the existing diversity of approaches to representation of the change into an arsenal of complementary tools sharpened for various spectral regions of tasks in different domains.
Реестр государственных и муниципальных услуг (РГМУ) это система управления данными, которая хранит информацию о более 15000 государственных услугах, предоставленную всеми государственными ведомствами. Это бэкофис система для государственного портала услуг www.gosuslugi.ru. РГМ описывает бизнес логику всех государственных и муниципальных услуг предоставляемых в России. РГМУ – это основа для улучшения степени зрелости госуслуг, а также показатель результативности Программы «Административная Реформа (2004-2010)».
Рассматривая проблемы, с которыми сталкиваются современные университеты, межфакультетская группа исследователей выполнила анализ организационно-управленческого подхода в одном из университетов России и провела моделирование существующих бизнес-процессов. Рассматриваемый университет состоит из нескольких кампусов, расположенных в разных городах и для эффективного управления распределенной структурой, необходимо сделать переход от традиционной модели управления, к более гибкой – на базе сетевых структур. В статье рассматриваются разработка дерева целей и проектирование AS-IS модели. Для описания модели и проведения имитационного моделирования, исследователи применяют IBM Business Modeler. Практическая ценность предлагаемого подхода заключается в том, что его применение позволяет университету повысить производительность и эффективность.
The practical relevance of process mining is increasing as more and more event data become available. Process mining techniques aim to discover, monitor and improve real processes by extracting knowledge from event logs. The two most prominent process mining tasks are: (i) process discovery: learning a process model from example behavior recorded in an event log, and (ii) conformance checking: diagnosing and quantifying discrepancies between observed behavior and modeled behavior. The increasing volume of event data provides both opportunities and challenges for process mining. Existing process mining techniques have problems dealing with large event logs referring to many different activities. Therefore, we propose a generic approach to decompose process mining problems. The decomposition approach is generic and can be combined with different existing process discovery and conformance checking techniques. It is possible to split computationally challenging process mining problems into many smaller problems that can be analyzed easily and whose results can be combined into solutions for the original problems.
В монографии приведены результаты исследования, посвященного управлению жизненным циклом информационных систем, а также анализу стандартов, сводов знаний и корпоративных методик, использующихся в ИТ-проектах. Приведены характеристики фаз ЖЦИС из практики управления ИТ-проектами, а также практические рекомендации по управлению такими проектами. Книга предназначена для научных работников, сотрудников научно- технических предприятий и работников государственных органов управлений, а также студентов, аспирантов, слушателей бизнес-школ повышения квалификации и переподготовки кадров. Книга содержит практические рекомендации для руководителей ИТ-проектов, а также сотрудников компаний, занимающихся проектной деятельностью в области ИТ-проектов.
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
В данной работе рассматривается пятое уравнение Пенлеве, которое имеет 4 комплексных параметра α, β, γ, δ. Методами степенной геометрии ищутся асимптотические разложения его решений при x → ∞. При α≠0 найдено 10 степенных разложений с двумя экспоненциальными добавками каждое. Шесть из них - по целым степеням x (они были известны), и четыре по полуцелым (они новые). При α=0 найдено 4 однопараметрических семейства экспоненциальных асимптотик y(x) и 3 однопараметрических семейства сложных разложений x=x(y). Все экспоненциальные добавки, экспоненциальные асимптотики и сложные разложения найдены впервые. Также уточнена техника вычисления экспоненциальных добавок.
Электронное издание является сборником материалов международной научно-практической конференции "Теория активных систем" (ТАС-2014)
Я выписываю точную формулу для (теоретико-множественной) системы результантов как набора коэффициентов одного результанта.