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Academic literature on the topic 'INFORMATION METAMODEL'

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Published: 11 September 2023

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Journal articles on the topic "INFORMATION METAMODEL"

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HENDERSON-SELLERS, B., and I. HAWRYSZKIEWYCZ. "COMPARING COLLABORATIVE AND PROCESS SEMANTICS FOR COOPERATIVE INFORMATION SYSTEMS." International Journal of Cooperative Information Systems 17, no. 02 (June 2008): 155–76. http://dx.doi.org/10.1142/s0218843008001804.

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Collaboration is now becoming more common in business processes. Thus, ways are needed to integrate collaborative processes into such business processes. The implication for design methodologies is the need for synergies that integrate collaborative semantics with process metamodels in order to create software applications to assist people to collaborate. This paper describes a semantic model of collaboration, known as the LiveNet metamodel, and two standard process metamodels, SPEM (OMG) and the process part of the methodology metamodel ISO/IEC 24744. The paper suggests synergies between the collaborative and process metamodels and their potential convergence. The analysis carried out in the paper has revealed a number of metaclasses that could be valuably shared between metamodels to integrate process and collaborative semantics. The LiveNet collaborative metamodel has been incorporated into running software so that the theory built up here is substantiated and shown to be useful.
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Pícka, M. "Metamodeling and development of information systems." Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (February 24, 2012): 65–70. http://dx.doi.org/10.17221/5168-agricecon.

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Metamodeling is becaming an important part of information systems development. When metamodeling we are working with metamodel which define the syntax and the semantics of models. There are a lot of standards for definition of metamodel e.g. COMMA, GOPRR, MOF. Metamodeling is used for defining and creating of new methodologies, their implementation into CASE and metaCASE tools. Metamodeling is used for manipulation of data and metadata and for optimalization of information’s system design with utilization of generic models. The aims of this article are: to discusse fundamental concepts of metamodeling, demonstrate some theoretically and practically important meta-metamodels and to position metamodeling principles in the development of information systems.
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Yan, Cheng, Jianfeng Zhu, Xiuli Shen, Jun Fan, Dong Mi, and Zhengming Qian. "Ensemble of Regression-Type and Interpolation-Type Metamodels." Energies 13, no. 3 (February 4, 2020): 654. http://dx.doi.org/10.3390/en13030654.

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Metamodels have become increasingly popular in the field of energy sources because of their significant advantages in reducing the computational cost of time-consuming tasks. Lacking the prior knowledge of actual physical systems, it may be difficult to find an appropriate metamodel in advance for a new task. A favorite way of overcoming this difficulty is to construct an ensemble metamodel by assembling two or more individual metamodels. Motivated by the existing works, a novel metamodeling approach for building the ensemble metamodels is proposed in this paper. By thoroughly exploring the characteristics of regression-type and interpolation-type metamodels, some useful information is extracted from the feedback of the regression-type metamodels to further improve the functional fitting capability of the ensemble metamodels. Four types of ensemble metamodels were constructed by choosing four individual metamodels. Common benchmark problems are chosen to compare the performance of the individual and ensemble metamodels. The results show that the proposed metamodeling approach reduces the risk of selecting the worst individual metamodel and improves the accuracy of the used individual metamodels.
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Lafi, Lamine, Jamel Feki, and Slimane Hammoudi. "Metamodel Matching Techniques." International Journal of Information System Modeling and Design 5, no. 2 (April 2014): 70–94. http://dx.doi.org/10.4018/ijismd.2014040104.

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During the last decade, Model Driven Engineering (MDE) has been proposed for supporting the development, maintenance and evolution of software systems. Model Driven Architecture (MDA), Software Factories and Eclipse Modeling Framework (EMF) are among the most representatives MDE approaches. Nowadays, it is well recognized that model transformation is at the heart of MDE approaches and, consequently represents one of the most important operations in MDE. However, despite the multitude of model transformation language proposals emerging from academic world and industry, these transformations are often manually specified; which is a tedious and error-prone task, and therefore an expensive process. Matching operation between metamodels is the keystone toward a (semi-)automatic transformation process. In this paper, the authors review metamodel matching techniques of the literature and then analyze their pros and cons in order to show how they can be useful for a semi-automatic transformation process. The result is a comparison of metamodel matching techniques, highlighting their similarities and differences in terms of information used for matching, demonstrating significant similarities between these techniques. Next, the authors compare four well-known metamodel matching techniques namely Similarity flooding, SAMT4MDE+ (extended Semi-Automatic Matching Tool for Model Driven Engineering), ModelCVS and AML (AtlanMod Matching Language) on ten couples of metamodels. For this comparison, the authors define a set of six criteria inspired from the database schema matching. One among these criteria is relevant to the quality of matching and for which we define a quality measure metrics. Furthermore, the authors develop a plug-in under Eclipse to support our comparison using ten couples of metamodels.
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Wu, Hao. "An SMT-based Approach for Generating Coverage Oriented Metamodel Instances." International Journal of Information System Modeling and Design 7, no. 3 (July 2016): 23–50. http://dx.doi.org/10.4018/ijismd.2016070102.

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An effective technique for generating instances of a metamodel should quickly and automatically generate instances satisfying the metamodel's structural and OCL constraints. Ideally it should also produce quantitatively meaningful instances with respect to certain criteria, that is, instances which meet specified generic coverage criteria that help the modelers test or verify a metamodel at a general level. In this paper, the author presents an approach consisting of two techniques for coverage oriented metamodel instance generation. The first technique realises the standard coverage criteria defined for UML class diagrams, while the second technique focuses on generating instances satisfying graph-based criteria. With the author's approach, both kinds of criteria are translated to SMT formulas which are then investigated by an SMT solver. Each successful assignment is then interpreted as a metamodel instance that provably satisfies a coverage criteria or a graph property. The author has already integrated this approach into his existing tool to demonstrate the feasibility.
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Wang, Wen Li, Min Huang, and Ying Wang. "Construction of XBRL Semantic Metamodel and Knowledge Base Based on Ontology." Applied Mechanics and Materials 571-572 (June 2014): 1119–28. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1119.

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In order to improve the interoperability of XBRL format financial reporting on the semantic level, a novel XBRL financial reporting metamodel and a fact data semantic metamodel are proposed, which uses the Semantic Web technologies and Ontology theory. Then, a XBRL knowledge base is constructed based on this metamodel .Using the metamodel-based translation mechanism from XBRL to OWL / RDF, all the semantic information in XBRL taxonomy and instance documents is translated into OWL ontology and RDF instance. Finally, a knowledge base covering the semantic information of financial reporting domain is constructed.
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Basl, Josef, and Petr Doucek. "A Metamodel for Evaluating Enterprise Readiness in the Context of Industry 4.0." Information 10, no. 3 (February 28, 2019): 89. http://dx.doi.org/10.3390/info10030089.

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This article analyzes the available readiness indexes and maturity models applied for trends designated as “4.0”, with a focus on Industry 4.0, primarily within the countries of Europe. Based upon it, the available indexes and maturity models are organized into the individual layers of the metamodel; a proposal for this metamodel is this article’s main output. Simultaneously, as-yet-uncovered places for the development of existing maturity models, as well as space for further detailed research into the application of Industry 4.0 in theory and in practice, are identified on the basis of this metamodel.
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Degeling, Koen, Maarten J. IJzerman, Mariel S. Lavieri, Mark Strong, and Hendrik Koffijberg. "Introduction to Metamodeling for Reducing Computational Burden of Advanced Analyses with Health Economic Models: A Structured Overview of Metamodeling Methods in a 6-Step Application Process." Medical Decision Making 40, no. 3 (April 2020): 348–63. http://dx.doi.org/10.1177/0272989x20912233.

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Metamodels can be used to reduce the computational burden associated with computationally demanding analyses of simulation models, although applications within health economics are still scarce. Besides a lack of awareness of their potential within health economics, the absence of guidance on the conceivably complex and time-consuming process of developing and validating metamodels may contribute to their limited uptake. To address these issues, this article introduces metamodeling to the wider health economic audience and presents a process for applying metamodeling in this context, including suitable methods and directions for their selection and use. General (i.e., non–health economic specific) metamodeling literature, clinical prediction modeling literature, and a previously published literature review were exploited to consolidate a process and to identify candidate metamodeling methods. Methods were considered applicable to health economics if they are able to account for mixed (i.e., continuous and discrete) input parameters and continuous outcomes. Six steps were identified as relevant for applying metamodeling methods within health economics: 1) the identification of a suitable metamodeling technique, 2) simulation of data sets according to a design of experiments, 3) fitting of the metamodel, 4) assessment of metamodel performance, 5) conducting the required analysis using the metamodel, and 6) verification of the results. Different methods are discussed to support each step, including their characteristics, directions for use, key references, and relevant R and Python packages. To address challenges regarding metamodeling methods selection, a first guide was developed toward using metamodels to reduce the computational burden of analyses of health economic models. This guidance may increase applications of metamodeling in health economics, enabling increased use of state-of-the-art analyses (e.g., value of information analysis) with computationally burdensome simulation models.
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Huang, Wei, Xuanyu Zhang, Haofan Cheng, and Jiemin Xie. "Metamodel-Based Optimization Method for Traffic Network Signal Design under Stochastic Demand." Journal of Advanced Transportation 2023 (May 27, 2023): 1–15. http://dx.doi.org/10.1155/2023/3917657.

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Traffic network design problems (NDPs) play an important role in urban planning. Since there exist uncertainties in the real urban traffic network, neglecting the uncertainty factors may lead to unreasonable decisions. This paper considers the transportation network signal design problem under stochastic origin-destination (OD) demand. In general, solving this stochastic problem requires a large amount of computational budget to calculate the equilibrium flow corresponding to a certain demand distribution, which limits its real applications. To reduce the computational time in calculating the equilibrium flow under stochastic demand, this paper proposes a metamodel-based optimization method. First, a combined metamodel that integrates a physical modeling part and a model bias generic part is developed. The metamodel is used to approximate the time-consuming average equilibrium flow solution process, hence to improve the computational efficiency. To further improve the convergence and the solution optimality performance of the metamodel-based optimization, the gradient information of traffic flow with respect to the signal plan is incorporated in the optimization model. A gradient-based metamodel algorithm is then proposed. In the numerical example, a six-node test network is used to examine the proposed metamodel-based optimization method. The proposed combined metamodel is compared with the benchmark method to investigate the importance of incorporating a model bias generic part and the traffic flow gradient information in the combined metamodel. Although there is a reduction in solution optimality since the metamodel is an approximation of the original model, the metamodel methods greatly improve the computational efficiency (the computational time is reduced by 4.84 to 13.47 times in the cases of different initial points). By incorporating the model bias, the combined metamodel can better approximate the original optimal solution. Moreover, incorporating the gradient information of the traffic flow in the optimization search algorithm can further improve the solution performance. Numerical results show that the gradient-based metamodel method can effectively improve the computation efficiency while slightly reducing the solution optimality (with an increase of 0.09% in the expected total travel cost).
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Kashmar, Nadine, Mehdi Adda, Hussein Ibrahim, Jean-François Morin, and Tony Ducheman. "Instantiation and Implementation of HEAD Metamodel in an Industrial Environment: Non-IoT and IoT Case Studies." Electronics 12, no. 15 (July 25, 2023): 3216. http://dx.doi.org/10.3390/electronics12153216.

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Access to resources can take many forms: digital access via an onsite network, through an external site, website, etc., or physical access to labs, machines, information repositories, etc. Whether access to resources is digital or physical, it must be allowed, denied, revoked, or disabled using robust and coherent access control (AC) models. What makes the process of AC more complicated is the emergence of digital transformation technologies and pervasive systems such as the internet of things (IoT) and industry 4.0 systems, especially with the growing demand for transparency in users’ interaction with various applications and services. Controlling access and ensuring security and cybersecurity in IoT and industry 4.0 environments is a challenging task. This is due to the increasing distribution of resources and the massive presence of cyber-threats and cyber-attacks. To ensure the security and privacy of users in industry sectors, we need an advanced AC metamodel that defines all the required components and attributes to derive various instances of AC models and follow the new and increasing demand for AC requirements due to continuous technology upgrades. Due to the several limitations in the existing metamodels and their inability to answer the current AC requirements, we have developed a Hierarchical, Extensible, Advanced, Dynamic (HEAD) AC metamodel with significant features that overcome the existing metamodels’ limitations. In this paper, the HEAD metamodel is employed to specify the needed AC policies for two case studies inspired by the computing environment of Institut Technologique de Maintenance Industrielle (ITMI)-Sept-Îles, QC, Canada; the first is for ITMI’s local (non-IoT) environment and the second for ITMI’s IoT environment. For each case study, the required AC model is derived using the domain-specific language (DSL) of HEAD metamodel, then Xtend notation (an expressive dialect of Java) is utilized to generate the needed Java code which represents the concrete instance of the derived AC model. At the system level, to get the needed AC rules, Cypher statements are generated and then injected into the Neo4j database to represent the Next Generation Access Control (NGAC) policy as a graph. NGAC framework is used as an enforcement point for the rules generated by each case study. The results show that the HEAD metamodel can be adapted and integrated into various local and distributed environments. It can serve as a unified framework, answer current AC requirements and follow policy upgrades. To demonstrate that the HEAD metamodel can be implemented on other platforms, we implement an administrator panel using VB.NET and SQL.
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Dissertations / Theses on the topic "INFORMATION METAMODEL"

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Roets, Yzelle. "The design and evaluation of an integrated enterprise architecture metamodel." Thesis, University of Pretoria, 2015. http://hdl.handle.net/2263/43531.

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The research focuses on the relationship and interlinking between the different architectural domains within the enterprise architecture of an enterprise. The architectural domains are grouped together as business architecture, information architecture and technology architecture. First, a literature review of the definitions, history, role, functions and qualities, existing frameworks, models and domains of enterprise architecture was conducted. The definitions; role and benefits; models, frameworks, ontologies and descriptive languages of the different architectural domains were then studied as background and basis. New definitions were deduced. Second, the modelling methodology, process, elements and deliverables were investigated. An integration metamodel for enterprise architecture was developed, according to this modelling methodology. The metamodel is called the Relational Enterprise Architecture Metamodel or the REAM. Third, the research methodology for the empirical research section was investigated and determined. The proposed conceptual metamodel has been assessed through a case study within three different industries each. The feedback from the case studies was used to modify/enhance the metamodel. The possibilities for application of the modified model were then assessed at the University of Pretoria. The contribution of this research lies mainly in the development, empirical testing and refining of an integrated EA metamodel (REAM) as well as the development of new definitions for enterprise, business, information and technology architecture and relating them.
Thesis (PhD)--University of Pretoria 2015.
Information Science
Unrestricted
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Murthy, Uma. "Digital Libraries with Superimposed Information: Supporting Scholarly Tasks that Involve Fine Grain Information." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26866.

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Many scholarly tasks involve working with contextualized fine-grain information, such as a music professor creating a multimedia lecture on a musical style, while bringing together several snippets of compositions of that style. We refer to such contextualized parts of a larger unit of information (or whole documents), as subdocuments. Current approaches to work with subdocuments involve a mix of paper-based and digital techniques. With the increase in the volume and in the heterogeneity of information sources, the management, organization, access, retrieval, as well as reuse of subdocuments becomes challenging, leading to inefficient and ineffective task execution. A digital library (DL) facilitates management, access, retrieval, and use of collections of data and metadata through services. However, most DLs do not provide infrastructure or services to support working with subdocuments. Superimposed information (SI) refers to new information that is created to reference subdocuments in existing information resources. We combine this idea of SI with traditional DL services, to define and develop a DL with SI (an SI-DL). Our research questions are centered around one main question: how can we extend the notion of a DL to include SI, in order to support scholarly tasks that involve working with subdocuments? We pursued this question from a theoretical as well as a practical/user perspective. From a theoretical perspective, we developed a formal metamodel that precisely defines the components of an SI-DL, building upon related work in DLs, SI, annotations, and hypertext. From the practical/user perspective, we developed prototype superimposed applications and conducted user studies to explore the use of SI in scholarly tasks. We developed SuperIDR, a prototype SI-DL, which enables users to mark up subimages, annotate them, and retrieve information in multiple ways, including browsing, and text- and content-based image retrieval. We explored the use of subimages and evaluated the use of SuperIDR in fish species identification, a scholarly task that involves working with subimages. Findings from the user studies and other work in our research lead to theory- and experiment-based enhancements that can guide design of digital libraries with superimposed information.
Ph. D.
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Pordel, Mostafa. "A Metamodel independent approach for Conflict Detection tosupport distributed development in MDE." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7648.

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The need for change of direction in Software Engineering has been suggested in severalresources [Power of Models]. In recent years many organizations have focused on ModelDriven Engineering (MDE) as an approach to application design and implementation.Model Driven Architecture (MDA) was introduced by Object Management Group (OMG) in2001 in support of MDE. Models are the basic elements in MDE. The focus on MDE is onthe concept of “Everything is a model”. So far several languages, tools and platforms havebeen created for MDE.In particular, models can be developed in a distributed environment, thus once they mergetogether, conflicts and inconsistencies should be detected in a convenient way to bereconciled (automatically by software or manually by developers). This project is based onprevious works that define difference and conflict metamodels of a source model. In thisreport, we introduce the benefits of versioning systems in MDE framework. A conflictmetamodel that is generated from the input metamodel and the architecture for detectingconflicts are represented. The proposed approach is metamodel independent that meansconflict metalmodel is created for any input model which conforms to Kernel Meta MetaModel (KM3). The concept of used conflict model can be also changed regardless ofmodels. The extended idea for conflicts detection, the presented architecture for modelcode management and the tools that can detect conflicts of concurrent models can help toimprove MDE in model code management. For this report, some implementation in Eclipseplatform has been rendered while some future works are suggested.


University of L'Aquila, Project group in Moedling with Alfonso Pierantonio
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Rudaitis, Gediminas. "Įvykiais grindžiamų informacinių sistemų modeliavimo ir realizavimo metodika." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080128_101213-91159.

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Pastaruoju metu informacinių technologijų pasaulyje dažnai minimos paslaugomis ir įvykiais grindžiamų sistemų architektūros. Greitai besikeičiančiame verslo pasaulyje įmonėms yra aktualu turėti sistemas, kurios greitai ir lengvai būtų priderintos prie besikeičiančių verslo procesų ir sumažintų tokių sistemų kūrimo ir palaikymo išlaidas. Naudodamos paslaugomis grindžiamą architektūrą, įmonės gali lanksčiai tvarkyti savo veiklą ir kurti sistemas, nekeisdamos turimos techninės ar programinės įrangos. Nors literatūroje yra gausu straipsnių apie įvykiais grindžiamas sistemas ir jų privalumus, tačiau sistemos architektui, nusprendusiam sukurti įvykiais grindžiamos sistemos projektą, iškyla aktualus klausimas: kaip aprašyti ir modeliuoti įvykius, kurie ateina iš išorės arba sugeneruojami pačios sistemos ar vartotojų veiksmų su sistema metu. Akivaizdu, kad šiuo metu nėra populiarios metodikos, kuri apibrėžtų, kaip reikia atlikti įvykių modeliavimą ir jį panaudoti informacinių sistemų kūrimo procese. Šiame darbe nagrinėjami įvykiais grindžiamų sistemų modeliavimo metodai ir realizavimo technologijos. Atsižvelgiant į analizės rezultatus pateikiama įvykiais grindžiamų sistemų modeliavimo ir realizavimo metodika. Ši metodika pritaikyta ir įvertinta sukuriant publikacijų portalo prototipą.
Nowadays the terms SOA (Service Oriented Architecture) and event driven systems are often used when talking about systems with large scalability, performance and interoperability. In fast changing business world it is vital to have systems that could be easily changed whenever new functionality is needed. Using service oriented architecture companies can easier adapt its business process to changed business rules. Even though there are a lot of articles and publications about event driven systems and their advantages, but the system architect who decides to build an event driven system is facing the problem: how to model and describe events of the system. Obviously, that there are no popular and widely accepted methodology for event driven system modelling. The goal of this work is to develop a methodology for modelling an event driven systems. This methodology describes the metamodel for event modelling and the usage of the event model in system development life cycle. The developed methodology for modelling and implementation of event-driven information systems was used for making a model of publications portal prototype. Usage of this methodology in system design process adds more clarity, because all the events, which can be generated in the system and their types, are described in one diagram – event model. The event model elements can be used in other model diagrams, such as sequence or state machine diagrams.
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Weinfurter, Maristela Regina. "Modelagem de sistemas de informação na internet como sistemas de workflow sobre documentos estruturados." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2001. http://hdl.handle.net/10183/15646.

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A construção de aplicações Web é algo complexo, pois envolve requisitos não previstos na modelagem de sistemas convencionais. O ambiente Web agrega características como: navegabilidade, estruturação de hiperdocumentos, workflow, acessibilidade, escalabilidade, usabilidade, compatibilidade, interoperabilidade, segurança, aspectos culturais, entre outros. O presente trabalho propõe que a modelagem de sistemas de informação na Internet incorpore características existentes na modelagem de sistemas de gerência de workflow manipulando hiperdocumentos. A notação utilizada é uma extensão à notação da UML (Unified Modeling Language). Esta consiste de novos estereótipos que modelem hiperdocumentos e sistemas de gerência de workflow em sistemas de informação na Web. A extensão propõe a utilização de diagrama de atividades estendido para modelar o workflow de atividades, o qual manipula hiperdocumentos envolvidos no domínio de uma aplicação Web. Os hiperdocumentos são modelados através de diagramas de estrutura de documentos, que são derivados do diagrama de classes da UML. A navegabilidade dos documentos é desenhada através dos diagramas de contexto de navegação e restrições de acessos de em casos de uso. Finalizando a modelagem, o diagrama de estrutura de documentos recebe todas as características dinâmicas, estáticas e de ligação que são modeladas através dos diagramas estendidos bem como pelos diagramas comportamentais e estáticos da UML. A modelagem segue a notação da UML, sendo sugerido que numa primeira etapa, modele-se os hiperdocumentos e sua estruturação preliminar. Na seqüência, com auxílio do diagrama de casos de uso, modela-se o fluxo de atividades através do diagrama de atividades estendido. Após este levantamento, tanto de documentos quanto de atividades envolvidas no domínio da aplicação, modela-se o contexto de navegação e restrições em acessos de casos de uso, que evidenciam os componentes de ligação necessários à navegabilidade entre os hiperdocumentos. Através da extensão proposta à notação da UML, que considera aspectos de workflow, estruturação de hiperdocumentos e navegabilidade, as fases de projeto e implementação de software, sofrem menos alterações e interferências de adaptação às características das ferramentas de implementação para este novo ambiente.
Implementation of Web applications is a complex task since it involves requirements not previously accounted for modelling conventional systems. The Web environment possesses characteristics such as ease of navigation, hyperdocument structuring, workflow, access and scale facilities, usability, compatibility and interoperability, safety and cultural aspects amongst others. The present work proposes that modelling of information systems in the Internet incorporate the existing characteristics of modelling workflow management systems to handle structured hyperdocuments. The notation used is an extension to the UML (Unified Modelling Language) notation, which consists in new stereotypes for hyperdocument modelling and incorporated workflow in information systems. The extension proposes use of the extended diagram of activities to model the activity workflow which will handle the hyperdocuments involved in the domain of a Web application. The hyperdocuments will be modelled using diagrams of document structure, which are derived from the UML class diagrams. The navigation of documents is designed using the surfing context diagrams and access restriction associated to the use cases. Modelling is finalised by adding to the document structure all the dynamic, static and link characteristics which are modelled though the extended diagrams, as far as the behaviour and static diagrams of the UML. The modelling procedure follows the UML notation, being suggested that, in a first step, the modelling of a preliminary document structuring. In sequence, using the diagram of use cases, the activity flow is modelled by using the extended diagram of activities. After the research procedures associated to documents and activities related to the application domain, the surfing contexts and access restrictions of the use cases are modelled to evince the link components necessary to the navigation amongst documents. The use of the proposed extension to the UML notation, which accounts for workflow aspects, hyperdocument structuring and its navigation, will lead to less changes of the project development and software implementation to account for the characteristics of the implementation tools for this new environment.
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Abdrachimovas, Ruslanas. "Objektinių modelių transformacijų realizavimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2004. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2004~D_20040531_150600-88877.

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Presented work covers one of the most important areas of OMG’s model driven architecture (MDA) – problems of object model transformations. Based on research of OMG specifications and other sources, author analyzes transformation process, states importance of modeling and metamodeling for designing of UML like modeling languages. Research work describes designed metamodels of experimental modeling languages: “Entity – process”, Java metamodel and relational metamodel. Author gives a short overview of model editors for these languages, created using EMF framework tools. Based on analysis, author describes very flexible architecture of model transformation implementation, based on filter and pipes architectural pattern. Usage of this architecture gives flexibility to transformation implementation and allows easy and straightforward decomposition of transformation to separate stages. Designed filter and pipes transformation architecture was used for experimental transformation implementation. Research work presents quality and quantity based results of experimental transformations.
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Danielaitytė, Daiva. "UML veiklos modelio generavimas veiklos žinių saugyklos pagrindu." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080128_104738-26628.

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Informacijos sistemos kūrimas, pradedant nuo vartotojo reikalavimų surinkimo iki IS diegimo, palaikymo ir reinžinerijos vadinamas informacijos sistemų inžinerija. Pastaruoju metu šio mokslo vystymosi eigoje formuojasi naujas etapas – žiniomis grindžiama kompiuterizuota IS inžinerija. IS kūrimo aplinka CASE yra papildoma veiklos žinių kaupimo posistemiu, intelektualizuojančiu informacijos sistemos kūrimo procesą. Veiklos žinių posistemio paskirtis teoriškai yra užtikrinti galimybę saugomų dalykinės srities žinių pagrindu generuoti IS konceptualaus ir detalaus projektavimo etapų modelius ir programinį kodą. Veiklos modelio panaudojimas gerina sprendimų kokybę ir taupomas darbo laikas, kadangi veiklos modelyje jau yra sukauptos formalių kriterijų atžvilgiu patikrintos žinios. Priešingai negu tradicinėje kompiuterizuotoje IS inžinerijoje, kur informacijos sistema kuriama empiriškai, pradedant vartotojo poreikių išsiaiškinimu, analize ir specifikavimu. Tokiu IS kūrimo būdu dauguma CASE įrankiams taikomų projektinių modelių yra generuojami tik iš dalies ir juos iki galo realizuoti gali tik sistemos analitikas neautomatizuotu būdu. Šiame darbe bus gilinamasi į galimybę panaudojant veiklos modelį, kurio pagrindu sudarytas dalykinės srities žinių posistemis, generuoti veiklos (activity) diagramos projektinį modelį.
The principles and major steps of enterprise Meta-Model (EMM) based development of Activity model in CASE system enviroment are presented in this paper. The Enterprise Meta-Model represents the key concepts of domain knowledge. The enterprise processes, management functions, and their interactions are concidered as a components of the domain knowledge accumulated as Enterprise model in the knowledge base of CASE system. The formal and practical background for generation of Activity diagram model is mapping rules of EMM constructs to constructs of Activity diagram meta-model. In this paper experimental Enterprise knowledge model is eveluated in order to find out with activity diagram elements we can‘t generate without adding aditional classes to Enterprise model.
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Piefel, Michael [Verfasser]. "CeeJay – Ein Metamodell zur Codegenerierung / Michael Piefel." München : Verlag Dr. Hut, 2011. http://d-nb.info/1012431916/34.

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Abler, Daniel Jakob Silvester. "Software architecture for capturing clinical information in hadron therapy and the design of an ion beam for radiobiology." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:c2d9cf79-7b2d-4feb-bb17-53f003a8557c.

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Hadron Therapy (HT) exploits properties of ion radiation to gain therapeutic advantages over existing photon-based forms of external radiation therapy. However, its relative superiority and cost-effectiveness have not been proven for all clinical situations. Establishing a robust evidence base for the development of best treatment practices is one of the major challenges for the field. This thesis investigates two research infrastructures for building this essential evidence. First, the thesis develops main components of a metadata-driven software architecture for the collection of clinical information and its analysis. This architecture acknowledges the diversity in the domain and supports data interoperability by sharing information models. Their compliance to common metamodels guarantees that primary data and analysis results can be interpreted outside of the immediate production context. This is a fundamental necessity for all aspects of the evidence creation process. A metamodel of data capture forms is developed with unique properties to support data collection and documentation in this architecture. The architecture's potential to support complex analysis processes is demonstrated with the help of a novel metamodel for Markov model based simulations, as used for the synthesis of evidence in health-economic assessments. The application of both metamodels is illustrated on the example of HT. Since the biological effect of particle radiation is a major source of uncertainty in HT, in its second part, this thesis undertakes first investigations towards a new research facility for bio-medical experiments with ion beams. It examines the feasibility of upgrading LEIR, an existing accelerator at the European Organisation for Nuclear Research (CERN), with a new slow extraction and investigates transport of the extracted beam to future experiments. Possible configurations for the slow-resonant extraction process are identified, and designs for horizontal and vertical beam transport lines developed. The results of these studies indicate future research directions towards a new ion beam facility for biomedical research.
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Nagel, Michael [Verfasser]. "The QUARC Metamodel: A Communication-Based Generic Project Model / Michael Nagel." München : Verlag Dr. Hut, 2013. http://d-nb.info/1031843825/34.

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Books on the topic "INFORMATION METAMODEL"

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Metadata solutions: Using metamodels, repositories, XML, and enterprise portals to generate information on demand. Boston: Addison-Wesley, 2002.

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Deved¿ic, Vladan. Model Driven Engineering and Ontology Development. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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European Conference on Modelling Foundations and Applications (6th 2010 Paris, France). Modelling foundations and applications: 6th European conference, ECMFA 2010, Paris, France, June 15-18, 2010 : proceedings. Berlin: Springer, 2010.

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Tolbert, Douglas, John Poole, David Mellor, and Dan Chang. Common Warehouse Metamodel. Wiley & Sons, Incorporated, John, 2007.

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Tolbert, Douglas, John Poole, David Mellor, and Dan Chang. Common Warehouse Metamodel. Wiley & Sons, Incorporated, John, 2002.

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Tolbert, Douglas, John Poole, David Mellor, and Dan Chang. Common Warehouse Metamodel. Wiley & Sons, Incorporated, John, 2002.

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Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse Integration. Wiley, 2001.

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Scheer, August-Wilhelm. ARIS - Modellierungsmethoden, Metamodelle, Anwendungen. 4th ed. Springer, 2001.

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Tannenbaum, Adrienne. Metadata Solutions: Using Metamodels, Repositories, XML, and Enterprise Portals to Generate Information on Demand. Addison-Wesley Professional, 2001.

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Book chapters on the topic "INFORMATION METAMODEL"

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Berg, Henning, and Birger Møller-Pedersen. "Specialisation of Metamodels Using Metamodel Types." In Communications in Computer and Information Science, 84–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25156-1_6.

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Strahonja, Vjeran. "Definition Metamodel of ITIL." In Information Systems Development, 1081–92. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78578-3_39.

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Basciani, Francesco, Juri Di Rocco, Davide Di Ruscio, Ludovico Iovino, and Alfonso Pierantonio. "Automated Clustering of Metamodel Repositories." In Advanced Information Systems Engineering, 342–58. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39696-5_21.

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Glöckner, Michael, Christoph Augenstein, and André Ludwig. "Metamodel of a Logistics Service Map." In Business Information Systems, 185–96. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06695-0_16.

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Khelladi, Djamel Eddine, Regina Hebig, Reda Bendraou, Jacques Robin, and Marie-Pierre Gervais. "Detecting Complex Changes During Metamodel Evolution." In Advanced Information Systems Engineering, 263–78. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19069-3_17.

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Baxter, Matt, Simon Polovina, Wim Laurier, and Mark von Rosing. "Active Semantic Relations in Layered Enterprise Architecture Development." In Lecture Notes in Computer Science, 3–16. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72308-8_1.

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AbstractEnterprise Architecture (EA) metamodels align an organisation’s business, information and technology resources so that these assets best meet the organisation’s purpose. The Layered EA Development (LEAD) Ontology enhances EA practices by a metamodel with layered metaobjects as its building blocks interconnected by semantic relations. Each metaobject connects to another metaobject by two semantic relations in opposing directions, thus highlighting how each metaobject views other metaobjects from its perspective. While the resulting two directed graphs reveal all the multiple pathways in the metamodel, more desirable would be to have one directed graph that focusses on the dependencies in the pathways. Towards this aim, using CG-FCA (where CG refers to Conceptual Graph and FCA to Formal Concept Analysis) and a LEAD case study, we determine an algorithm that elicits the active as opposed to the passive semantic relations between the metaobjects resulting in one directed graph metamodel. We also identified the general applicability of our algorithm to any metamodel that consists of triples of objects with active and passive relations.
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Arni-Bloch, Nicolas, and Jolita Ralyté. "MISS: A Metamodel of Information System Service." In Information Systems Development, 177–86. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/b137171_19.

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Ma, Zhiyi, and Hongjie Chen. "A Metamodel for Internetware Applications." In Recent Advances in Computer Science and Information Engineering, 365–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25789-6_51.

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Kalnins, Audris, and Janis Barzdins. "Metamodel Specialization for DSL Tool Building." In Communications in Computer and Information Science, 68–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40180-5_5.

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Habela, Piotr, Mark Roantree, and Kazimierz Subieta. "Flattening the Metamodel for Object Databases." In Advances in Databases and Information Systems, 263–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45710-0_21.

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Conference papers on the topic "INFORMATION METAMODEL"

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Turner, Cameron J., Matthew I. Campbell, and Richard H. Crawford. "Generic Sequential Sampling for Metamodel Approximations." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48230.

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Metamodels approximate complex multivariate data sets from simulations and experiments. These data sets often are not based on an explicitly defined function. The resulting metamodel represents a complex system’s behavior for subsequent analysis or optimization. Often an exhaustive data search to obtain the data for the metamodel is impossible, so an intelligent sampling strategy is necessary. While multiple approaches have been advocated, the majority of these approaches were developed in support of a particular class of metamodel, known as a Kriging. A more generic, commonsense approach to this problem allows sequential sampling techniques to be applied to other types of metamodels. This research compares recent search techniques for Kriging metamodels with a generic, multi-criteria approach combined with a new type of B-spline metamodel. This Bspline metamodel is competitive with prior results obtained with a Kriging metamodel. Furthermore, the results of this research highlight several important features necessary for these techniques to be extended to more complex domains.
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Xiao, Mi, Qiangzhuang Yao, Liang Gao, Haihong Xiong, and Fengxiang Wang. "Metamodel Uncertainty Quantification by Using Bayes’ Theorem." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46746.

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In complex engineering systems, approximation models, also called metamodels, are extensively constructed to replace the computationally expensive simulation and analysis codes. With different sample data and metamodeling methods, different metamodels can be constructed to describe the behavior of an engineering system. Then, metamodel uncertainty will arise from selecting the best metamodel from a set of alternative ones. In this study, a method based on Bayes’ theorem is used to quantify this metamodel uncertainty. With some mathematical examples, metamodels are built by six metamodeling methods, i.e., polynomial response surface, locally weighted polynomials (LWP), k-nearest neighbors (KNN), radial basis functions (RBF), multivariate adaptive regression splines (MARS), and kriging methods, and under four sampling methods, i.e., parameter study (PS), Latin hypercube sampling (LHS), optimal LHS and full factorial design (FFD) methods. The uncertainty of metamodels created by different metamodeling methods and under different sampling methods is quantified to demonstrate the process of implementing the method.
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Nannapaneni, Saideep, Zhen Hu, and Sankaran Mahadevan. "Uncertainty Quantification in Metamodel-Based Reliability Prediction." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59225.

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Optimization under uncertainty has been studied in two directions — (1) Reliability-based Design Optimization (RBDO), and (2) Robust Design Optimization (RDO). One of the crucial elements in an RBDO problem is reliability analysis. Reliability analysis is affected by different types of epistemic uncertainty, due to inadequate data and modeling errors, along with aleatory uncertainty in input random variables. When the original physics-based model is computationally expensive, a metamodel has often been used in reliability analysis, introducing additional uncertainty due to the metamodel. This work presents a framework to include statistical uncertainty and model uncertainty in metamodel-based reliability analysis. Inadequate data causes uncertainty regarding the statistics (distribution types and distribution parameters) of the input variables, and regarding the system model parameters. Model errors include model form errors, solution approximation errors, and metamodel uncertainty. Two types of metamodels have been considered in literature for reliability analysis: (1) metamodels that compute the system model output over the desired ranges of the input random variables; and (2) metamodels that concentrate only on modeling the limit state. This work focuses on the latter type, using Gaussian process (GP) metamodels for performing both component reliability (single limit state) and system reliability (multiple limit states) analyses. A systematic procedure for the inclusion of model discrepancy terms in the limit-state metamodel construction is developed using an auxiliary variable approach. An efficient single-loop sampling approach using the probability integral transform is used for sampling the input variables with statistical uncertainty. The variability in the GP model prediction (metamodel uncertainty) is also included in reliability analysis through correlated sampling of the model predictions at different inputs. Two mechanical systems — a cantilever beam with point-load at the free end and a two-bar supported panel with point load at its center, are used to demonstrate the proposed techniques.
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Meckesheimer, Martin, Russell R. Barton, Timothy W. Simpson, and Andrew J. Booker. "Computationally Inexpensive Metamodel Assessment Strategies." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21028.

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Abstract In many scientific and engineering domains, it is common to analyze and simulate complex physical systems using mathematical models. Although computing resources continue to increase in power and speed, discipline-specific computer simulation modules continue to grow in complexity and remain computationally expensive, limiting their use in design optimization. The use of different approximation strategies as inexpensive metamodels of the discipline-specific simulation models has led to the development of various metamodel-based integration frameworks and associated research topics. In particular, integration of the discipline-specific metamodels requires an assessment of the overall system error based on the individual approximation errors. As a result, there is a need to develop efficient methods to assess metamodel fidelity at the system and subsystem level. In this paper, we investigate computationally inexpensive assessment methods for metamodel validation at the subsystem level and evaluate a two-stage validation approach on two classes of test problems: 1. Three response functions from a Boeing simulation model, and 2. two response functions from a set of problems for testing optimization codes. Preliminary results indicate that the two stage-validation approach is promising, since it requires no additional computationally expensive disciplinary model evaluations and can provide a practical estimate of the true error measure.
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Turner, Cameron J., and Richard H. Crawford. "Selecting an Appropriate Metamodel: The Case for NURBs Metamodels." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85043.

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Metamodels are becoming increasingly popular for representing unknown black box functions. Several metamodel classes exist, including response surfaces and spline-based models, kriging and radial basis function models, and neural networks. For an inexperienced user, selecting an appropriate metamodel is difficult due to a limited understanding of the advantages and disadvantages of each metamodel type. This paper reviews several major metamodeling techniques with respect to their advantages and disadvantages and compares several significant metamodel types for use as a black box metamodeling tool. The results make a strong case for using Non-Uniform Rational B-spline (NURBs) HyPerModels as a generic metamodeling tool.
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Xu, Hongyi, Ching-Hung Chuang, and Ren-Jye Yang. "Mixed-Variable Metamodeling Methods for Designing Multi-Material Structures." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59176.

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To establish metamodels for the multi-material structure design problems, the material selection of each component is considered as a categorical design variable. One challenging task is to establish an accurate mixed-variable metamodel. It is critical to reduce the prediction error of the mixed-variable metamodel in order to achieve a feasible design with superior performance in the metamodel-based optimization. This paper investigates two different strategies of mixed-variable metamodeling: “feature separating” strategy and “all-in-one” strategy. A supervised learning-aided method is proposed to improve the “feature separating” metamodels. The proposed method is compared with several existing mixed-variable metamodeling methods on three engineering benchmark problems to understand their relative merits. These methods include Neural Network (NN) regression, Classification and Regression Tree (CART) and Gaussian Process (GP). A new Polynomial Coefficient Metric is developed to quantify the adequacy of training data. This study provides insight and guidance for establishing proper metamodels on multi-material structural design problems.
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Rahim, Lukman Ab. "Mapping from OCL/UML metamodel to PVS metamodel." In 2008 International Symposium on Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/itsim.2008.4631599.

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Drignei, Dorin, Zissimos P. Mourelatos, Ervisa Kosova, and Igor Baseski. "Time-Dependent Reliability Using Metamodels With Transformed Random Inputs." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46823.

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We have recently proposed a method for time-dependent reliability based on metamodels with random inputs. In that method, we employed multiple sets of inputs sampled from the input distribution to construct a new metamodel as a mixture of classical metamodels. Because the sampled inputs may cluster around a mode of the input distribution, they may result in a metamodel of reduced quality. We address this issue in this paper by using a transformation to de-cluster the sample inputs and then use our previously developed metamodel with random inputs. We first obtain the output of the computer model for a limited number of transformed input draws which do not cluster in high probability regions of the input space. Then, conditioned on these transformed sampled inputs, we construct a classical Kriging surrogate and obtain the distribution of the new surrogate as the marginal of the joint distribution between the classical surrogate and the transformed sampled inputs. The proposed method is illustrated with a corroding beam example. A more accurate time-dependent reliability estimation is obtained compared with our previously developed metamodel method.
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Yang, Zhuo, Douglas Eddy, Sundar Krishnamurty, Ian Grosse, and Yan Lu. "A Super-Metamodeling Framework to Optimize System Predictability." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86055.

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Statistical metamodels can robustly predict manufacturing process and engineering systems design results. Various techniques, such as Kriging, polynomial regression, artificial neural network and others, are each best suited for different scenarios that can range across a design space. Thus, methods are needed to identify the most appropriate metamodel or model composite for a given problem. To account for pros and cons of different metamodeling techniques for a wide diversity of data sets, in this paper we introduce a super-metamodel optimization framework (SMOF) to improve overall prediction accuracy by integrating different metamodeling techniques without a need for additional data. The SMOF defines an iterative process first to construct multiple metamodels using different methods and then aggregate them into a weighted composite and finally optimize the super-metamodel through advanced sampling. The optimized super-metamodel can reduce an overall prediction error and sustains the performance regardless of dataset variation. To verify the method, we apply it to 24 test problems representing various scenarios. A case study conducted with additive manufacturing process data shows method effectiveness in practice.
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Turner, Cameron J. "Metamodeling in Product and Process Design." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47483.

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As computational capabilities have increased, so too has our ability to apply engineering simulations to problems of ever increasing complexity. Unfortunately, while our desire to apply engineering analysis to problems of increasing complexity; the computational burden of these analysis tools often precludes their direct use on design problems where iteration is the norm. Not only does design entail iteration, the practice of design optimization relies upon iterative methods to arrive at an optimal and or robust design solution. Surrogate models, often called metamodels or models of models, are a common solution to this challenge. Numerous metamodeling techniques are available to the engineering designer. However, all metamodels face common issues in the acquisition of sufficient data to support the metamodel, algorithms to fit the metamodel to the data, and methods to exploit the metamodel for tasks such as design space visualization, analysis and optimization. This paper reviews the state of the art in metamodeling as a tool for product and process design. In addition to reviewing the various types of metamodels in use, discussions of current research issues in data acquisition, modeling the design space and using metamodels in product and process design are discussed. This review is intended to define the foundation for other papers within the conference session.
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