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Journal articles on the topic 'INFORMATION METAMODEL'

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Author: Grafiati

Published: 11 September 2023

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1

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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Romanchenko, Alexander Mikhailovitch. "Generalized Structural Metamodel of Information Interaction Protocol." SPIIRAS Proceedings 1, no. 38 (February 24, 2015): 58. http://dx.doi.org/10.15622/sp.38.4.

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Hammoudi, Slimane, Wajih Alouini, Denivaldo Lopes, and Marianne Huchard. "Towards A Semi-Automatic Transformation Process in MDA." International Journal of Information System Modeling and Design 1, no. 4 (October 2010): 48–76. http://dx.doi.org/10.4018/jismd.2010100103.

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Model Driven Engineering (MDE) has been proposed for supporting the development, maintenance and evolution of software systems. Model Driven Architecture (MDA), Software Factories, and the Eclipse Modeling Framework (EMF) are representative MDE approaches. These MDE approaches have concepts and techniques in common such as modeling, metamodels, and model transformation. Today, it is well recognized that model transformation is the most important of MDE approaches and is one of the most important operations in MDE. Despite the multitude of model transformation language proposals emerging from university and industry, these transformations are often created manually, which is a tedious and error-prone task and therefore an expensive process. In this paper, the authors propose an extended architecture that aims to semi-automate the process of transformation in the context of MDA. This architecture involves concepts and techniques of metamodel matching, inspired and borrowed from schema matching techniques that are an important issue in the database and ontology domain. This architecture is enforced by a methodology which details the different steps leading to a semi-automatic transformation process. Matching foundations and the authors’ approach for metamodel matching are discussed.

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Idier, Déborah, Axel Aurouet, François Bachoc, Audrey Baills, José Betancourt, Fabrice Gamboa, Thierry Klein, et al. "A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques." Journal of Marine Science and Engineering 9, no. 11 (October 27, 2021): 1191. http://dx.doi.org/10.3390/jmse9111191.

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Given recent scientific advances, coastal flooding events can be properly modelled. Nevertheless, such models are computationally expensive (requiring many hours), which prevents their use for forecasting and warning. In addition, there is a gap between the model outputs and information actually needed by decision makers. The present work aims to develop and test a method capable of forecasting coastal flood information adapted to users’ needs. The method must be robust and fast and must integrate the complexity of coastal flood processes. The explored solution relies on metamodels, i.e., mathematical functions that precisely and efficiently (within minutes) estimate the results that would provide the numerical model. While the principle of relying on metamodel solutions is not new, the originality of the present work is to tackle and validate the entire process from the identification of user needs to the establishment and validation of the rapid forecast and early warning system (FEWS) while relying on numerical modelling, metamodelling, the development of indicators, and information technologies. The development and validation are performed at the study site of Gâvres (France). This site is subject to wave overtopping, so the numerical phase-resolving SWASH model is used to build the learning dataset required for the metamodel setup. Gaussian process- and random forest classifier-based metamodels are used and post-processed to estimate 14 indicators of interest for FEWS users. These metamodelling and post-processing schemes are implemented in an FEWS prototype, which is employed by local users and exhibits good warning skills during the validation period. Based on this experience, we provide recommendations for the improvement and/or application of this methodology and individual steps to other sites.

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Hollocks, B. W., and L. W. Friedman. "The Simulation Metamodel." Journal of the Operational Research Society 48, no. 8 (August 1997): 850. http://dx.doi.org/10.2307/3010718.

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Friedman, L. W. "The Simulation Metamodel." Journal of the Operational Research Society 48, no. 8 (August 1997): 850. http://dx.doi.org/10.1057/palgrave.jors.2600834.

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Diao, Li Juan, Jun Zhong Gu, and Liang Chun. "The Ontology Definition Metamodel for Search Engine Based on Contextual Concept." Advanced Materials Research 926-930 (May 2014): 2263–66. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2263.

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Ontology definition metamodel has been widely adopted in aspect of building ontology. However existing ontology metamodel is only suitable for building ontology in a certain domain. With collaboration and sharing among multiple domains, we face the seriously problem that is how to overcome semantic interoperability. For this problem, we need to combine general ontology with domain ontology and merge all existing ontologies by ontology metamodel. In this paper, we define main components of ontology metamodel and present conditional context and contextual concept unit. In addition, we introduce the method of mapping between conditional context and contextual concept unit. Finally, we use an example about information retrieval to illustrate its function and analysis its feasibility.

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Yang, Bin, Lihong Qiao, Zuowei Zhu, and Muqi Wulan. "A Metamodel for the Manufacturing Process Information Modeling." Procedia CIRP 56 (2016): 332–37. http://dx.doi.org/10.1016/j.procir.2016.10.032.

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Bettini, Lorenzo, Davide Di Ruscio, Ludovico Iovino, and Alfonso Pierantonio. "Supporting safe metamodel evolution with edelta." International Journal on Software Tools for Technology Transfer 24, no. 2 (February 3, 2022): 247–60. http://dx.doi.org/10.1007/s10009-022-00646-2.

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AbstractMetamodels play a crucial role in any model-based application. They underpin the definition of models and tools, and the development of model management operations, including model transformations and analysis. Like any software artifacts, metamodels are subject to evolution to improve their quality or implement unforeseen requirements. Metamodels can be defined in terms of existing ones to increase the separation of concerns and foster reuse. However, the induced coupling can give additional evolution complexity, and dedicated support is needed to avoid breaking metamodels defined in terms of those being changed. This paper presents a tool-supported approach that can automatically analyze the available metamodels and alert modelers in case of change operations that can give place to invalid situations like dangling references. The approach has been implemented in the Edelta development environment and successfully applied to metamodels retrieved from a publicly available Ecore models dataset.

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Abdelkader, Berraouna. "A Novel Method for Refactoring UML Metamodel." Ingénierie des systèmes d information 28, no. 2 (April 30, 2023): 263–74. http://dx.doi.org/10.18280/isi.280201.

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Abdelkader, Berraouna. "A Novel Method for Refactoring UML Metamodel." Ingénierie des systèmes d information 28, no. 2 (April 30, 2023): 263–74. http://dx.doi.org/10.18280/isi.280401.

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Fitz, Theresa, Michael Theiler, and Kay Smarsly. "A metamodel for cyber-physical systems." Advanced Engineering Informatics 41 (August 2019): 100930. http://dx.doi.org/10.1016/j.aei.2019.100930.

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Xue, Dong, Jianfeng Yu, Yuan Li, He Zhang, and Xin Tong. "A novel ensemble of metamodels using improved stepwise metamodel selection and two-layer pointwise ensemble." Advanced Engineering Informatics 57 (August 2023): 102065. http://dx.doi.org/10.1016/j.aei.2023.102065.

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VUJASINOVIC, MARKO, EDWARD BARKMEYER, NENAD IVEZIC, and ZORAN MARJANOVIC. "INTEROPERABLE SUPPLY-CHAIN APPLICATIONS: MESSAGE METAMODEL-BASED SEMANTIC RECONCILIATION OF B2B MESSAGES." International Journal of Cooperative Information Systems 19, no. 01n02 (March 2010): 31–69. http://dx.doi.org/10.1142/s0218843010002103.

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Supply-chain applications exchange numerous electronic business-to-business (B2B) messages of varied types. Traditionally, prior to a message exchange, partners adopt one particular message specification that constrains message structure and syntax to implement compatible application message interfaces. However, in open, dynamic supply-chains, the applications need to interact even though their message interfaces are based on different, yet incompatible message specifications. To achieve such interactions, we propose the Message Metamodel-based semantic reconciliation of B2B messages. The Message Metamodel is a novel, ontological form that provides for common representation of B2B message specifications and messages of various syntaxes, such as Extensible Markup Language (XML) or Electronic Data Interchange (EDI). The experimental investigation showed that proposed semantic reconciliation architecture built atop the Message Metamodel (1) insulates the reconciliation activities from the specific message syntaxes, (2) supports the reconciliation of messages irrespective of message standards used, and (3) enables seamless interoperable message exchange between heterogeneous supply-chain applications.

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Ahituv, Niv. "A metamodel of information flow: a tool to support information systems theory." Communications of the ACM 30, no. 9 (September 1987): 781–91. http://dx.doi.org/10.1145/30401.30405.

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Derdour, Makhlouf, Philippe Roose, Marc Dalmau, Nacéra Ghoualmi Zine, and Adel Alti. "MMSA: Metamodel Multimedia Software Architecture." Advances in Multimedia 2010 (2010): 1–17. http://dx.doi.org/10.1155/2010/386035.

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Interoperability explains how two or more systems or components exchange and process information. The heterogeneity communication mechanisms of the components (GPRS, WIFI, Bluetooth, ZigBee, etc.), transmission speed, as well as the variety of the media (sound, video, text, and image) they manage have a strong influence on the interoperability. That requires the management of the adaptation to an abstract level in order to avoid ad hoc nonreusable, and/or generalizable solutions. In this paper we propose a metamodel for architectures with heterogeneous multimedia components. It enables the description of the software architectures as a collection of components manipulating various types and formats of data, and interacting between them via specific adaptation connectors.

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Kashmar, Nadine, Mehdi Adda, and Hussein Ibrahim. "HEAD Metamodel: Hierarchical, Extensible, Advanced, and Dynamic Access Control Metamodel for Dynamic and Heterogeneous Structures." Sensors 21, no. 19 (September 29, 2021): 6507. http://dx.doi.org/10.3390/s21196507.

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The substantial advancements in information technologies have brought unprecedented concepts and challenges to provide solutions and integrate advanced and self-ruling systems in critical and heterogeneous structures. The new generation of networking environments (e.g., the Internet of Things (IoT), cloud computing, etc.) are dynamic and ever-evolving environments. They are composed of various private and public networks, where all resources are distributed and accessed from everywhere. Protecting resources by controlling access to them is a complicated task, especially with the presence of cybercriminals and cyberattacks. What makes this reality also challenging is the diversity and the heterogeneity of access control (AC) models, which are implemented and integrated with a countless number of information systems. The evolution of ubiquitous computing, especially the concept of Industry 4.0 and IoT applications, imposes the need to enhance AC methods since the traditional methods are not able to answer the increasing demand for privacy and security standards. To address this issue, we propose a Hierarchical, Extensible, Advanced, and Dynamic (HEAD) AC metamodel for dynamic and heterogeneous structures that is able to encompass the heterogeneity of the existing AC models. Various AC models can be derived, and different static and dynamic AC policies can be generated using its components. We use Eclipse (xtext) to define the grammar of our AC metamodel. We illustrate our approach with several successful instantiations for various models and hybrid models. Additionally, we provide some examples to show how some of the derived models can be implemented to generate AC policies.

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Rahmouni, M'hamed, Chaymae Talbi, and Soumia Ziti. "Model-driven architecture: generating models from Symfony framework." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 3 (June 1, 2023): 1659. http://dx.doi.org/10.11591/ijeecs.v30.i3.pp1659-1668.

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The web application development industry is constantly growing due to the extensive use of web applications in different devices, most of them run on Android, iOS, and Windows Phone operating systems. However, the development of applications designed for platforms requires more concerns such as code efficiency, interaction with devices, and speed of market penetration. The model-driven approach (MDA) combined with unified modeling language (UML) could provide abstraction and automation for software developers. This paper presents an MDA approach for the development of web applications based on the Symfony framework, UML modeling, model transformation, and then automatic code generation in order to facilitate and accelerate the development of web applications. The first step of this work is to establish the metamodel of Symfony framework and the metamodel of UML class diagram. In the second step, the various transformation rules between the source and target metamodels are first defined. Atlas transformation language (ATL) implements these rules. The result of this transformation is a platform-specific model (PSM) represented by Ecore language. The generated PSM model represents the input model of model-to-code (M2C) transformation for generating the code of web applications. To validate this work, we have implemented a case study.

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Grelle, G., L. Bonito, P. Revellino, L. Guerriero, and F. M. Guadagno. "A hybrid model for mapping simplified seismic response via a GIS-metamodel approach." Natural Hazards and Earth System Sciences Discussions 2, no. 2 (February 3, 2014): 963–97. http://dx.doi.org/10.5194/nhessd-2-963-2014.

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Abstract. An hybrid model, consisting of GIS and metamodel (model of model) procedures, was introduced with the aim of estimating the 1-D spatial seismic site response. Inputs and outputs are provided and processed by means of an appropriate GIS model, named GIS Cubic Model (GCM). This discretizes the seismic underground half-space in a pseudo-tridimensional way. GCM consists of a layered parametric structure aimed at resolving a predicted metamodel by means of pixel to pixel vertical computing. The metamodel leading to the determination of a bilinear-polynomial function is able to design the classic shape of the spectral acceleration response in relation to the main physical parameters that characterize the spectrum itself. The main physical parameters consist of (i) the average shear wave velocity of the shallow layer, (ii) the fundamental period and, (iii) the period where the spatial spectral response is required. The metamodel is calibrated on theoretical spectral accelerations regarding the local likely Vs-profiles, which are obtained using the Monte Carlo simulation technique on the basis of the GCM information. Therefore, via the GCM structure and the metamodel, the hybrid model provides maps of normalized acceleration response spectra. The hybrid model was applied and tested on the built-up area of the San Giorgio del Sannio village, located in a high-risk seismic zone of Southern Italy.

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Dong, Guirong, Xiaozhe Wang, and Dianzi Liu. "Metaheuristic Approaches to Solve a Complex Aircraft Performance Optimization Problem." Applied Sciences 9, no. 15 (July 25, 2019): 2979. http://dx.doi.org/10.3390/app9152979.

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The increasing demands for travelling comfort and reduction of carbon dioxide emissions have been considered substantially in the stage of conceptual aircraft design. However, the design of a modern aircraft is a multidisciplinary process, which requires the coordination of information from several specific disciplines, such as structures, aerodynamics, control, etc. To address this problem with adequate accuracy, the multidisciplinary analysis and optimization (MAO) method is usually applied as a systematic and robust approach to solve such complex design issues arising from industries. Since MAO method is tedious and computationally expensive, genetic programming (GP)-based metamodeling techniques incorporating MAO are proposed as an effective approach to minimize the wing stiffness of a large aircraft subject to aerodynamic, aeroelastic and stability constraints in the conceptual design phase. Based on the linear small-disturbance theory, the state-space equation is employed for stability analysis. In the process of multidisciplinary analysis, aeroelastic response simulations are performed using Nastran. To construct metamodels representing the responses of the interests with high accuracy as well as less computational burden, optimal Latin hypercube design of experiments (DoE) is applied to determine the optimized distribution of sampling points. Following that, parametric optimization is carried out on metamodels to obtain the optimal wing geometry shape, elastic axis positions and stiffness distribution, and then the solution is verified by finite element simulations. Finally, the superiority of the GP-based metamodel technique over genetic algorithm is demonstrated by multidisciplinary design optimization of a representative beam-frame wing structure in terms of accuracy and efficiency. The results also show that GP metamodel-based strategy for solving MAO problems can provide valuable insights to tailoring parameters for the effective design of a large aircraft in the conceptual phase.

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Zirngibl, Christoph, Benjamin Schleich, and Sandro Wartzack. "Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels." AI 3, no. 4 (December 8, 2022): 990–1006. http://dx.doi.org/10.3390/ai3040059.

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Given strict emission targets and legal requirements, especially in the automotive industry, environmentally friendly and simultaneously versatile applicable production technologies are gaining importance. In this regard, the use of mechanical joining processes, such as clinching, enable assembly sheet metals to achieve strength properties similar to those of established thermal joining technologies. However, to guarantee a high reliability of the generated joint connection, the selection of a best-fitting joining technology as well as the meaningful description of individual joint properties is essential. In the context of clinching, few contributions have to date investigated the metamodel-based estimation and optimization of joint characteristics, such as neck or interlock thickness, by applying machine learning and genetic algorithms. Therefore, several regression models have been trained on varying databases and amounts of input parameters. However, if product engineers can only provide limited data for a new joining task, such as incomplete information on applied joining tool dimensions, previously trained metamodels often reach their limits. This often results in a significant loss of prediction quality and leads to increasing uncertainties and inaccuracies within the metamodel-based design of a clinch joint connection. Motivated by this, the presented contribution investigates different machine learning algorithms regarding their ability to achieve a satisfying estimation accuracy on limited input data applying a statistically based feature selection method. Through this, it is possible to identify which regression models are suitable to predict clinch joint characteristics considering only a minimum set of required input features. Thus, in addition to the opportunity to decrease the training effort as well as the model complexity, the subsequent formulation of design equations can pave the way to a more versatile application and reuse of pretrained metamodels on varying tool configurations for a given clinch joining task.

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Hamou-Lhadj, Abdelwahab, and Timothy C. Lethbridge. "A Metamodel for Dynamic Information Generated from Object-Oriented Systems." Electronic Notes in Theoretical Computer Science 94 (May 2004): 59–69. http://dx.doi.org/10.1016/j.entcs.2004.01.004.

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Bounour, Nora, Fouzia Anguel, and Abdelkrim Amirat. "Using logic programming for adapting models to metamodel evolution." International Journal of Intelligent Information and Database Systems 10, no. 1/2 (2017): 69. http://dx.doi.org/10.1504/ijiids.2017.10007348.

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Steffes-Lai, Daniela, and Tanja Clees. "Statistical Analysis of Forming Processes as a First Step in a Process-Chain Analysis: Novel PRO-CHAIN Components." Key Engineering Materials 504-506 (February 2012): 631–36. http://dx.doi.org/10.4028/www.scientific.net/kem.504-506.631.

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This paper presents a new approach for statistical analysis of process chains, including a parameter sensitivity analysis of each process step as a basis for dimension reduction, and an efficient interpolatory metamodel in order to predict new designs. A Monte Carlo alike evaluation of this metamodel results in the requested statistical information, e.g. quantiles of the output functionals. Numerical results are presented for the forming process of a ZStE340 metal blank of a B-pillar. Additionally, a brief overview of results of the process chain forming to crash is given.

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Arcelli Fontana, Francesca, Claudia Raibulet, and Marco Zanoni. "Alternatives to the Knowledge Discovery Metamodel: An Investigation." International Journal of Software Engineering and Knowledge Engineering 27, no. 07 (September 2017): 1097–128. http://dx.doi.org/10.1142/s0218194017500413.

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To better understand and exploit the knowledge necessary to comprehend and evolve an existing system, different models can be extracted from it. Models represent the extracted information at various abstraction levels, and are useful to document, maintain, and reengineer the system. The Knowledge Discovery Metamodel (KDM) has been defined by the object management group as a meta-model supporting a large share of reverse engineering activities. Its specification has also been adopted by the ISO in 2012. This paper explores and describes alternative meta-models proposed in the literature to support reverse engineering, program comprehension, and software evolution activities. We focus on the similarity and differences of the alternative meta-models with KDM, trying to understand the potentials of reciprocal information interchange. We describe KDM and other five meta-models, plus their extensions available in the literature and their diffusion in the reverse engineering community. We also investigate the approaches using KDM and the five meta-models. In the paper, we underline the limited reuse of models for reverse engineering, and identify potential directions for future related research, to enhance the existing models and ease the exchange of information among them.

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MONTIEL-PONSODA, E., G. AGUADO DE CEA, A. GÓMEZ-PÉREZ, and W. PETERS. "Enriching ontologies with multilingual information." Natural Language Engineering 17, no. 3 (June 9, 2010): 283–309. http://dx.doi.org/10.1017/s1351324910000082.

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AbstractThis paper presents a novel approach to ontology localization with the objective of obtaining multilingual ontologies. Within the ontology development process, ontology localization has been defined as the activity of adapting an ontology to a concrete linguistic and cultural community. Depending on the ontology layers – terminological and/or conceptual – involved in the ontology localization activity, three heterogeneous multilingual ontology metamodels have been identified, of which we propose one of them. Our proposal consists in associating the ontology metamodel to an external model for representing and structuring lexical and terminological data in different natural languages. Our model has been called Linguistic Information Repository (LIR). The main advantages of this modelling modality rely on its flexibility by allowing (1) the enrichment of any ontology element with as much linguistic information as needed by the final application, and (2) the establishment of links among linguistic elements within and across different natural languages. The LIR model has been designed as an ontology of linguistic elements and is currently available in Web Ontology Language (OWL). The set of lexical and terminological data that it provides to ontology elements enables the localization of any ontology to a certain linguistic and cultural universe. The LIR has been evaluated against the multilingual requirements of the Food and Agriculture Organization of the United Nations in the framework of the NeOn project. It has proven to solve multilingual representation problems related to the establishment of well-defined relations among lexicalizations within and across languages, as well as conceptualization mismatches among different languages. Finally, we present an extension to the Ontology Metadata Vocabulary, the so-called LexOMV, with the aim of reporting on multilinguality at the ontology metadata level. By adding this contribution to the LIR model, we account for multilinguality at the three levels of an ontology: data level, knowledge representation level and metadata level.

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Du, Wenyi, Juan Ma, Peng Yue, and Yongzhen Gong. "An Efficient Reliability Method with Multiple Shape Parameters Based on Radial Basis Function." Applied Sciences 12, no. 19 (September 27, 2022): 9689. http://dx.doi.org/10.3390/app12199689.

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Structural reliability analysis has an inherent contradiction between efficiency and accuracy. The metamodel can significantly reduce the computational cost of reliability analysis by a simpler approximation. Therefore, it is crucial to build a metamodel, which achieves the minimum simulations and accurate estimation for reliability analysis. Aiming at this, an effective adaptive metamodel based on the combination of radial basis function (RBF) model and Monte Carlo simulation (MCS) is proposed. Different shape parameters are first used to generate the weighted prediction variance, and the search for new training samples is guided by the active learning function that achieves a tradeoff of (1) being close enough to limit state function (LSF) to have a high reliability sensitivity; (2) keeping enough distance between the existing samples to avoid a clustering problem; and (3) being in the sensitive region to ensure the effectiveness of the information obtained. The performance of the proposed method for a nonlinear, non-convex, and high dimensional reliability analysis is validated by three numerical cases. The results indicate the high efficiency and accuracy of the proposed method.

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Javed, Faizan, Marjan Mernik, Jeff Gray, and Barrett R. Bryant. "MARS: A metamodel recovery system using grammar inference." Information and Software Technology 50, no. 9-10 (August 2008): 948–68. http://dx.doi.org/10.1016/j.infsof.2007.08.003.

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Jacoby, Michael, Branislav Jovicic, Ljiljana Stojanovic, and Nenad Stojanović. "An Approach for Realizing Hybrid Digital Twins Using Asset Administration Shells and Apache StreamPipes." Information 12, no. 6 (May 21, 2021): 217. http://dx.doi.org/10.3390/info12060217.

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Digital twins (DTs) are digital representations of assets, capturing their attributes and behavior. They are one of the cornerstones of Industry 4.0. Current DT standards are still under development, and so far, they typically allow for representing DTs only by attributes. Yet, knowledge about the behavior of assets is essential to properly control and interact with them, especially in the context of industrial production. This behavior is typically represented by multiple different models, making integration and orchestration within a DT difficult to manage. In this paper, we propose a new approach for hybrid DTs by intertwining different DT models. We also show how to realize this approach by combining the Fraunhofer Asset Administration Shell (AAS) Tools for Digital Twins (FAST) to create Industry 4.0-compliant DTs with Apache StreamPipes to implement and manage multiple DT models. Our prototype implementation is limited to a subset of the AAS metamodel and pull-based communication between FAST and an external Apache StreamPipes instance. Future work should provide full support for the AAS metamodel, publish/subscribe-based communication, and other execution environments as well as deployment strategies. We also present how this approach has been applied to a real-world use case in the steel production industry.

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Simon, Balazs, Balazs Goldschmidt, and Karoly Kondorosi. "A Metamodel for the Web Services Standards." Journal of Grid Computing 11, no. 4 (September 21, 2013): 735–52. http://dx.doi.org/10.1007/s10723-013-9273-4.

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Krótkiewicz, Marek. "Hypergraph Approach Towards Ontology Design in Association-Oriented Metamodel." Cybernetics and Systems 50, no. 2 (February 7, 2019): 132–53. http://dx.doi.org/10.1080/01969722.2019.1565121.

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Reinhartz-Berger, Iris. "Representation of Situational Methods." International Journal of Information System Modeling and Design 4, no. 3 (July 2013): 32–49. http://dx.doi.org/10.4018/jismd.2013070102.

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Method Engineering (ME) and Situational Method Engineering (SME) aim at providing effective solutions for building and supporting evolution of software and information systems development methods. For this purpose, method components are specified and composed into general-purpose development methods or situational methods, i.e., development methods that best fit the characteristics of a given project and its environment. Recently ISO/IEC 24744 has emerged for defining a metamodel and a notation for development methods. However, this standard lacks a systematic support for situational classification and maintenance. In this work, the authors suggest incorporating ISO/IEC 24744 metamodel into a domain-based framework, called Application-based DOmain Modeling for Method Engineering (ADOM-ME), which supports specifying both general-purpose and situational methods in a single, simple, accessible, and scalable frame of reference. An exploratory study on the usability of ADOM-ME indicates that the approach can be utilized by information systems students that represent non-experienced method engineers and software developers.

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Shuchkevich, T. V. "The geographic information systems spatial data quality evaluation in the Metamodel context." IOP Conference Series: Materials Science and Engineering 698 (December 18, 2019): 044018. http://dx.doi.org/10.1088/1757-899x/698/4/044018.

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López-Quintero, J. F., J. M. Cueva Lovelle, R. González Crespo, and V. García-Díaz. "A personal knowledge management metamodel based on semantic analysis and social information." Soft Computing 22, no. 6 (November 16, 2016): 1845–54. http://dx.doi.org/10.1007/s00500-016-2437-y.

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Batmaz, İnci, and Semra Tunali. "Small response surface designs for metamodel estimation." European Journal of Operational Research 145, no. 2 (March 2003): 455–70. http://dx.doi.org/10.1016/s0377-2217(02)00207-2.

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Beydoun, G., G. Low, H. Mouratidis, and B. Henderson-Sellers. "A security-aware metamodel for multi-agent systems (MAS)." Information and Software Technology 51, no. 5 (May 2009): 832–45. http://dx.doi.org/10.1016/j.infsof.2008.05.003.

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Kessentini, Wael, Houari Sahraoui, and Manuel Wimmer. "Automated metamodel/model co-evolution: A search-based approach." Information and Software Technology 106 (February 2019): 49–67. http://dx.doi.org/10.1016/j.infsof.2018.09.003.

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Cicchetti, Alessandro, Federica Palorini, Tiziana Rancati, Claudio Fiorino, Cesare Cozzarini, Barbara Avuzzi, Vittorio Vavassori, et al. "Metamodeling of late rectal bleeding in patients undergoing radiotherapy for prostate cancer." Journal of Clinical Oncology 36, no. 6_suppl (February 20, 2018): 61. http://dx.doi.org/10.1200/jco.2018.36.6_suppl.61.

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61 Background: Predictive models for late rectal bleeding (LRB) after radiotherapy (RT) for prostate cancer were established by several studies, with good performance on development population (POP). Nonetheless, they were found to be unsatisfactory in their generalization to independent validation cohorts. Aim of the study is to build a metamodel for grade 2-3 (G23) and grade 3 (G3) LRB (LENT/SOMA) starting from literature evidence and to validate it on a new POP. Methods: The metamodel was constituted by clinical/dosimetric features and by their coefficients. Available predictive models for LRB were selected by literature search. Models including rectal Equivalent Uniform Dose (EUD) with/without patient-related dose-modifying factors were retrieved. The process allowed identification of “evidence-based” clinical/dosimetric features associated to LRB. Coeff. for identified features were resolved by weighted mean of published values, using their standard deviation as weight and then inserted in a sigmoid-shaped logit-EUD model. The resulting metamodel was validated on a pooled POP of radically treated pts (3DCRT & IMRT). Performance was assessed through calibration. Results: The search identified rectal EUD, previous abdominal surgery (SURG), hormone therapy (HT) and use of cardiovascular drugs (CARDIO) as relevant features (coeff. presented in table). Validation POP included 1591 pts with 240 (15%) LRBG23 and 98 (6.2%) LRBG3 pts. Calibration was very good: LRBG23 slope = 1.4 with R2 = 0.86; LRBG3 slope = 1.1 with R2 = 0.96. Conclusions: A metamodel for prediction of LRB has been developed from literature, including all currently available information on association between LRB and clinical/dosimetric factors. The model was successfully validated on a large POP, proving to be a valuable tool for predicting LRB before RT. [Table: see text]

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Novitsky, A. V., and V. A. Reznichenko. "Model of information object for digital library and its verification." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 031–38. http://dx.doi.org/10.15407/pp2020.02-03.031.

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An approach for formal verification of UML 2.0 using mapping OWL-DL in UML 2.0 is proposed. As a result, an original approach for mapping OWL-DL to UML 2.0 through description logic has been proposed. The completeness of the mapping of UML-OWL through stereotypes and labeled UML 2.0 values at the level of M0, M1 of the MOF metamodel is provided. A model of the information object (IO) for the semantic electronic library, which is described by using the UML language, is proposed. The proposed IO model was also verified by mapping it into OWL and then validating the constructed ontology by using risoners.

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Haurie, A., and M. Vielle. "A Metamodel of the Oil Game under Climate Treaties." INFOR: Information Systems and Operational Research 48, no. 4 (November 2010): 215–28. http://dx.doi.org/10.3138/infor.48.4.215.

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Othman, Siti Hajar, Ghassan Beydoun, and Vijayan Sugumaran. "Development and validation of a Disaster Management Metamodel (DMM)." Information Processing & Management 50, no. 2 (March 2014): 235–71. http://dx.doi.org/10.1016/j.ipm.2013.11.001.

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