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Relevant bibliographies by topics / INFORMATION METAMODEL

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Journal articles

Academic literature on the topic 'INFORMATION METAMODEL'

Author: Grafiati

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 (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

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Pícka, M. "Metamodeling and development of information systems." Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (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&nbsp;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&rsquo;s system design with utilization of generic models. The aims of this article are: to discusse fundament

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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 (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 ch

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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 (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

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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 (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

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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 domai

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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 (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 m

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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 (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

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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

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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 (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’ interac

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