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Relevant bibliographies by topics / Metagraphs

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Academic literature on the topic 'Metagraphs'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 January 2023

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Journal articles on the topic "Metagraphs"

1

Chernenkiy, Valeriy Mikhailovich, Ivan Vladimirovich Dunin, and Yuriy Evegenievich Gapanyuk. "The Software Implementation of a Metagraph Processing System Based on the Big Data Approach." Proceedings of the Institute for System Programming of the RAS 34, no. 1 (2022): 87–100. http://dx.doi.org/10.15514/ispras-2022-34(1)-7.

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The paper discusses the approach to solving the problem of processing metagraphs using Big Data technology. The formal definition of the metagraph data model and the metagraph agent model are given. The metagraph representation using the flat graph model is discussed. The flat graph and metagraph Big Data processing are described. The architecture of the system for processing data in metagraph is discussed. The metagraph processing using metagraph agents based on Big Data technology is discussed. The experiments result for parallel metagraph processing are given.

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Misnik, Anton Е. "Metagraphs for ontological engineering of complex systems." Journal Of Applied Informatics 17, no. 2 (2022): 120–32. http://dx.doi.org/10.37791/2687-0649-2022-17-2-120-132.

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The article deals with the issues of ontological engineering of complex systems. Ontological engineering includes the processes of designing and building ontologies, technologically combining object-oriented and structural analysis. Ontological engineering aims to ensure the adoption of high-quality management decisions by increasing the level of integration of the necessary information, improving search capabilities in databases and knowledge bases, providing the possibility of joint processing of knowledge based on a single semantic description of the knowledge space. This process is carried

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Basu, A., and R. W. Blanning. "Metagraphs." Omega 23, no. 1 (1995): 13–25. http://dx.doi.org/10.1016/0305-0483(94)00060-n.

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Basu, Amit, and Robert W. Blanning. "Model Integration Using Metagraphs." Information Systems Research 5, no. 3 (1994): 195–218. http://dx.doi.org/10.1287/isre.5.3.195.

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Basu, Amit, Robert W. Blanning, and Avraham Shtub. "Metagraphs in Hierarchical Modeling." Management Science 43, no. 5 (1997): 623–39. http://dx.doi.org/10.1287/mnsc.43.5.623.

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Fang, Yang, Xiang Zhao, Peixin Huang, Weidong Xiao, and Maarten de Rijke. "Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs." ACM Transactions on Information Systems 40, no. 4 (2022): 1–27. http://dx.doi.org/10.1145/3485189.

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Content representation is a fundamental task in information retrieval. Representation learning is aimed at capturing features of an information object in a low-dimensional space. Most research on representation learning for heterogeneous information networks (HINs) focuses on static HINs. In practice, however, networks are dynamic and subject to constant change. In this article, we propose a novel and scalable representation learning model, M-DHIN , to explore the evolution of a dynamic HIN. We regard a dynamic HIN as a series of snapshots with different time stamps. We first use a static embe

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Basu, Amit, and Robert W. Blanning. "Metagraphs in workflow support systems." Decision Support Systems 25, no. 3 (1999): 199–208. http://dx.doi.org/10.1016/s0167-9236(99)00006-8.

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Miller, Loïc, Pascal Mérindol, Antoine Gallais, and Cristel Pelsser. "Securing Workflows Using Microservices and Metagraphs." Electronics 10, no. 24 (2021): 3087. http://dx.doi.org/10.3390/electronics10243087.

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Companies such as Netflix increasingly use the cloud to deploy their business processes. Those processes often involve partnerships with other companies, and can be modeled as workflows where the owner of the data at risk interacts with contractors to realize a sequence of tasks on the data to be secured. In this paper, we first show how those workflows can be deployed and enforced while preventing data exposure. Second, this paper provides a global framework to enable the verification of workflow policies. Following the principles of zero-trust, we develop an infrastructure using the isolatio

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Masoumzadeh, B. Mirza, and S. S. Hashe min. "Constrained Renewable Resource Allocation in Fuzzy Metagraphs." International Journal of Mathematics Trends and Technology 54, no. 1 (2018): 69–77. http://dx.doi.org/10.14445/22315373/ijmtt-v54p508.

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Ranathunga, D., H. Nguyen, and M. Roughan. "MGtoolkit: A python package for implementing metagraphs." SoftwareX 6 (2017): 91–93. http://dx.doi.org/10.1016/j.softx.2017.04.001.

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Dissertations / Theses on the topic "Metagraphs"

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Swan, Bret R. "The Effects of Business Process Management Cognitive Resources and User Cognitive Differences on Outcomes of User Comprehension." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26969.

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There is a growing need to study factors that affect user comprehension of Business Process Management (BPM) information portrayed by graphical process models (GPMs). For example, deployment of BPM Systems, unique types of enterprise-level information systems, has dramatically increased in recent years. This increase is primarily because BPM Systems give a variety of managers across an enterprise the ability to directly design, configure, enact, monitor, diagnose, and control business processes that other types of enterprise systems do not. This is possible because BPM Systems uniquely rely

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MacDonald, Katharine Polak. "Gutter Love Historio-Metagraphics, Point-of-View, and the Ethics of Empathy." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377873578.

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Books on the topic "Metagraphs"

1

Basu, Amit. Metagraphs and their applications. Springer, 2011.

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2

Diakopes stēn pragmatikotēta: Poiēmata, schediasmata, metagraphes. 2nd ed. Ekdoseis Patakē, 2009.

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3

Hē euthraustē epikrateia tōn lexeōn: Poiēmata, schediasmata, metagraphes : 1991-2003. Ekdoseis Nephelē, 2013.

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Spitha-Pimplē, Dēmētra. Rodo to amarantho: Metagraphē tēs akolouthias tou Akathistou Hymnou se Neoellēnikē poiēsē. Smyrniōtakēs, 1987.

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Metagraphs and Their Applications. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-37234-1.

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Basu, Amit, and Robert W. Blanning. Metagraphs and Their Applications. Springer London, Limited, 2007.

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Metagraphs and Their Applications (Integrated Series in Information Systems). Springer, 2006.

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8

Technical Report: P-155 Sas/Graph Metagraphics Driver Facility. Sas Inst, 1985.

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Book chapters on the topic "Metagraphs"

1

Montoya-Zapata, Diego, Diego A. Acosta, Oscar Ruiz-Salguero, and David Sanchez-Londono. "FEA Structural Optimization Based on Metagraphs." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94120-2_20.

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Tarassov, Valery B., and Yuriy E. Gapanyuk. "Complex Graphs in the Modeling of Multi-agent Systems: From Goal-Resource Networks to Fuzzy Metagraphs." In Artificial Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59535-7_13.

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Astanin, S. V., and N. K. Zhukovskaya. "Definition of the Nested Metagraph." In Advances in Automation IV. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22311-2_25.

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Ata, Sezin Kircali, Yuan Fang, Min Wu, Xiao-Li Li, and Xiaokui Xiao. "Disease Gene Classification with Metagraph Representations." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8561-6_16.

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Xiong, Fengguang, and Xie Han. "Underground Pipelines Information System Based on Vector Metagraph." In Lecture Notes in Electrical Engineering. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4847-0_75.

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Belyanova, Marina, Sergey Chernobrovkin, Igor Latkin, and Yuriy Gapanyuk. "Metagraph Based Approach for Neural Text Question Generation." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72610-2_6.

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Chernenkiy, Valeriy, Yuriy Gapanyuk, Georgiy Revunkov, Yuriy Kaganov, and Yuriy Fedorenko. "Metagraph Approach as a Data Model for Cognitive Architecture." In Biologically Inspired Cognitive Architectures 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99316-4_7.

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Globa, Larysa, Maksym Ternovoy, Olena Shtogrina, and Oleksandra Kryvenko. "Based on Force-Directed Algorithms Method for Metagraph Visualization." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15147-2_30.

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Gapanyuk, Yuriy E. "The Semantic Complex Event Processing Based on Metagraph Approach." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25719-4_13.

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Chernenkiy, Valeriy M., Yuriy E. Gapanyuk, Anatoly N. Nardid, Anton V. Gushcha, and Yuriy S. Fedorenko. "The Hybrid Multidimensional-Ontological Data Model Based on Metagraph Approach." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74313-4_6.

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Conference papers on the topic "Metagraphs"

1

Basu and Blanning. "Cycles in metagraphs." In Proceedings of the Twenty-Seventh Annual Hawaii International Conference on System Sciences. IEEE Comput. Soc. Press, 1994. http://dx.doi.org/10.1109/hicss.1994.323340.

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Misnik, A. E. "Ontological Engineering on Metagraphs Basis." In 2022 VI International Conference on Information Technologies in Engineering Education (Inforino). IEEE, 2022. http://dx.doi.org/10.1109/inforino53888.2022.9782909.

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Miroshnikov, Artem, and Natalya Zhbanova. "Describing the Structures of Socio-economic Systems Using Metagraphs." In 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA). IEEE, 2019. http://dx.doi.org/10.1109/summa48161.2019.8947545.

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Blyumin, Semen, Alexander Galkin, and Maria Oreshina. "Cluster Approach to Model Reduction: Petrov–Galerkin Method, Hypergraphs, Metagraphs." In 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2021. http://dx.doi.org/10.1109/summa53307.2021.9632215.

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5

Blyumin, Semen, Natalya Zhbanova, and Anton Sysoev. "Matrix Characteristics of Directed Metagraphs: Application to Drinking Philosophers and Resource Allocation Problems." In 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2020. http://dx.doi.org/10.1109/summa50634.2020.9280816.

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6

Lubenets, Yuri V., and Artem Miroshnikov. "Software Implementation of Finding Minimal Spanning Trees in Structure Modeling of Socio-economic Systems Using Metagraphs." In 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2021. http://dx.doi.org/10.1109/summa53307.2021.9632067.

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Nehab, Diego, and Pedro Sander. "Metagraphics." In SIGGRAPH Asia 2013 Courses. ACM Press, 2013. http://dx.doi.org/10.1145/2542266.2542270.

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Gaur, Deepti, Aditya Shastri, and Ranjit Biswas. "Metagraph-Based Substructure Pattern Mining." In 2008 International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2008. http://dx.doi.org/10.1109/icacte.2008.100.

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Chung, Chanyoung, and Joyce Jiyoung Whang. "Knowledge Graph Embedding via Metagraph Learning." In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2021. http://dx.doi.org/10.1145/3404835.3463072.

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10

Basu, A., and R. W. Blanning. "A metagraph-based DSS analysis workbench." In Proceedings of HICSS-29: 29th Hawaii International Conference on System Sciences. IEEE, 1996. http://dx.doi.org/10.1109/hicss.1996.495423.

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