Семантическая трансформация моделей на основе онтологий
The aim of the project is development of approach to implementation of the transformations of models described with different modeling languages. Multimodel approach is actually the standard of the model driven development of information systems with use of different methodological approaches. However, when development and the analysis of models are executed with different tools, there are problems associated with need of model transformations upon transition from a solution of some tasks to others. Transformations are carried out "with losses", the automatic generated models demand "manual" completion, approval. It is offered to minimize losses with means based on using ontology integrating descriptions of modeling languages and domain models. The transformation includes the stages which are consistently realized with transformation tools of the DSM platform. The main result of this stage is the description of ontology and the general scheme of approach implementation.
Abstract: An approach to reengineering business processes through the integration of the domain specific modeling platform and Process Mining tools is described. An analysis of the existing approaches to business processes improvement is presented and restrictions are shown. The Process Mining methods are related to business process reengineering stages and tasks. Comparative analysis of Process Mining tools is executed. The advantages of the using of domain specific modeling tools (language workbenches, DSM platforms) are substantiated. Brief comparison of various visual languages notations and model transformation examples are described. The DSM platform ensures mutual understanding between specialists. The MetaLanguage DSM platform is the basis of integration tools. Some DSL (metamodels) are described and transformations are illustrated. The implementation of integrated tools reduces the complexity of analyst’s work. Keywords: business processes reengineering, domain specific modeling, DSM, modeling languages, DSL, language toolkits, DSM platform, model transformations, business process analysis, Process Mining. ACM Classification Keywords: H.4 INFORMATION SYSTEMS APPLICATIONS: H.4.1 Office Automation –Workflow management; H.4.2 Types of Systems – Decision support (e.g., MIS). I.6 SIMULATION AND MODELING: I.6.2 Simulation Languages; I.6.4 Model Validation and Analysis; I.6.5 Model Development Modeling methodologies.
Abstract – Nowadays approaches, based on models, are used in the development of the information systems. The models can be changed during the system development process by developers. They can be transformed automatically: visual model can be translated into program code; transformation from one modeling language to other can be done. The most appropriate way of the formal visual model presentation is metagraph. The best way to describe changes of visual models is the approach, based on graph grammars (graph rewriting). It is the most demonstrative way to present the transformation. But applying the graph grammar to the graph of model means to find the subgraph isomorphic to the left part of the grammar rule. This is an NP-complete task. There are some algorithms, developed for solving this task. They were designed for ordinary graphs and hypergraphs. In this article we consider some of them in case of using with the metagraphs representing models.
Abstract: The first and most labor-consuming stage of information systems development is an analysis stage. At this stage the set of different formal models describing systems domains, different aspects of the created system functioning is created. The model-centric approach focuses attention on the models at the each stage of the development process. Modelling tools are used by developers and experts in specific domains. These tools must be affordable for different specialists. Created models must be clarity and understandable for all developers and domain experts. This feature is supported with domain-specific modelling tools. Language workbenches include means for domain-specific languages creation. Modelling with DSM platform is more suitable for the domain experts, system and business analysts. Different tasks of the system design and development request specific formalizing means needed for modeling. Different modelling languages and tools are used by analysts. They need to support continuity of development stages, reusability of created models for the solution of different tasks. DSM platforms provide model transformations, translation of models from one modelling language to another. These tasks are important for large projects of complex information systems development. The basis of language toolkits creation is metamodeling. The tools of MetaLanguage DSM platform, allowing designing domain specific languages and models for different domains, to transform models at systems integration, are described. Examples of metamodels and models, transformation rules are presented.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
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.
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables