Relevant bibliographies by topics / The data model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'The data model'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "The data model"

1

Jabłoński, Marek. "Open data business model: innovative aspects of designing of business." Studia i Prace WNEiZ 52 (2018): 41–51. http://dx.doi.org/10.18276/sip.2018.52/2-03.

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Vala, Mr Manish, Kajal Patel, and Harsh Lad. "Multi Model Biometrics Data Retrieval Through: Big-Data." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 1273–77. http://dx.doi.org/10.31142/ijtsrd15933.

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Shilpa Rani, Shilpa Rani. "Data Model- Building Web Applications." International Journal of Scientific Research 2, no. 3 (2012): 181–82. http://dx.doi.org/10.15373/22778179/mar2013/58.

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Deepak, Prajapat, and Kulkarni Akanksha. "Database Management System: Data Model." Journal of Advances in Computational Intelligence Theory 5, no. 2 (2023): 1–9. https://doi.org/10.5281/zenodo.7907613.

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<em>In this paper, we are talking about the modern application require database to catch and execute more in closure semantics than traditional application. In order to collect and analyse data, a database management system communicates with applications, end users, and the database itself. A database is a structured collection of data that is electronically accessible and stored. Large databases are housed on clusters of computers or cloud storage, whilst smaller ones can be maintained on a file system.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Data modelling, effective data
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Gardner, D., K. H. Knuth, M. Abato, et al. "Common Data Model for Neuroscience Data and Data Model Exchange." Journal of the American Medical Informatics Association 8, no. 1 (2001): 17–33. http://dx.doi.org/10.1136/jamia.2001.0080017.

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Kamaruddin, Mahamsiatus. "Trialogical Model in Data Analysis Using Spreadsheet." Journal of ICT In Education 7, no. 2 (2020): 54–64. http://dx.doi.org/10.37134/jictie.vol7.2.5.2020.

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The advance of information technology and the availability of data in education management provide an opportunity, to run data analysis to assist top management in decision making. Information technology can transform data analysis in a more concise format, accurate, and in a short time, by using any available office application software which is already installed on the computer. However, even though the management at an operational-level in an organization usually already has the software installed on a computer to support the managing of data, the extent of knowledge and skills to use the s
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Ritika, Singh, Panchani Nilansh, and Bhatnagar Aastha. "Analysis and Simulation of COVID-19." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 7 (2021): 51–54. https://doi.org/10.35940/ijitee.G8928.0510721.

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India is facing a severe second wave of COVID-19 which is much worse than the first wave. It is spreading much faster. India has now surpassed U.S. in terms of daily COVID-19 cases. This paper aims to analyze the trend of COVID 19 and examine why second wave happened and why it is so bad by simulating a simple SEIR model. Which is a compartmental model based on 4 compartments Susceptible, Exposed, Infectious, Recovered.
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Scarciotti, Giordano; Jiang Zhong-Ping; Astolfi Alessandro. "Data-driven constrained optimal model reduction." European Journal of Control 53 (October 24, 2019): 68–78. https://doi.org/10.1016/j.ejcon.2019.10.006.

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Model reduction by moment matching can be interpreted as the problem of finding a reduced-order model which possesses the same steady-state output response of a given full-order system for a prescribed class of input signals. Little information regarding the transient behavior of the system is systematically preserved, limiting the use of reduced-order models in control applications. In this paper we formulate and solve the problem of <em>constrained</em> optimal model reduction. Using a data-driven approach we determine an estimate of the moments and of the transient response of a possibly un
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POPESCU, Ionel, Lică FLORE, and Albert ARNAU CUBILLO. "DERIVATION OF MASS, STIFFNESS AND DAMPING MATRICES OF A MODEL WING FROM EXPERIMENTAL MODAL DATA." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 19, no. 1 (2017): 323–30. http://dx.doi.org/10.19062/2247-3173.2017.19.1.39.

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Ajoudanian, Sh, and M. R. Ahmadi. "A Novel Data Security Model for Cloud Computing." International Journal of Engineering and Technology 4, no. 3 (2012): 326–29. http://dx.doi.org/10.7763/ijet.2012.v4.375.

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Dissertations / Theses on the topic "The data model"

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Stanier, C. F. "A model integrity based object-relational data model and complex data model definition framework." Thesis, Staffordshire University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522119.

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Aboulsamh, Mohammed A. "Model-driven data migration." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:44ddbf8b-a6a0-4830-baeb-13b2c746802f.

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Information systems often hold data of considerable value. Their continuing development or maintenance will often necessitate evolution of the system and migration of the data from one version to the next: a process that may be expensive, time-consuming, and prone to error. That such a process remains a source of challenges, is recognized by both academia and industry. In current practice, data migration is often considered only in the later stages of development, leaving critical data to be transformed and loaded by hand-written scripts, long after the design process has been completed. The a
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Sammut, Fiona. "Using generalized linear models to model compositional response data." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/89876/.

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This work proposes a multivariate logit model which models the influence of explanatory variables on continuous compositional response variables. This multivariate logit model generalizes an elegant method that was suggested previously by Wedderburn (1974) for the analysis of leaf blotch data in the special case of J = 2, leading to our naming this new approach as the generalized Wedderburn method. In contrast to the logratio modelling approach devised by Aitchison (1982, J. Roy Stat. Soc. B.), the multivariate logit model used under the generalized Wedderburn approach models the expectation o
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Mathew, Avin D. "Asset management data warehouse data modelling." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/19310/1/Avin_Mathew_Thesis.pdf.

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Data are the lifeblood of an organisation, being employed by virtually all business functions within a firm. Data management, therefore, is a critical process in prolonging the life of a company and determining the success of each of an organisation’s business functions. The last decade and a half has seen data warehousing rising in priority within corporate data management as it provides an effective supporting platform for decision support tools. A cross-sectional survey conducted by this research showed that data warehousing is starting to be used within organisations for their engineering
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Mathew, Avin D. "Asset management data warehouse data modelling." Queensland University of Technology, 2008. http://eprints.qut.edu.au/19310/.

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Data are the lifeblood of an organisation, being employed by virtually all business functions within a firm. Data management, therefore, is a critical process in prolonging the life of a company and determining the success of each of an organisation’s business functions. The last decade and a half has seen data warehousing rising in priority within corporate data management as it provides an effective supporting platform for decision support tools. A cross-sectional survey conducted by this research showed that data warehousing is starting to be used within organisations for their engineering
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Zygta, Adane H. "Object category data model, a new data model for object-oriented database management systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0009/MQ52383.pdf.

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Zygta, Adane H. (Adane Hadgu Carleton University Dissertation Computer Science. "Object category data model; a new data model for object-oriented database management systems." Ottawa, 2000.

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Miller, Chreston. "Structural Model Discovery in Temporal Event Data Streams." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/19341.

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This dissertation presents a unique approach to human behavior analysis based on expert guidance and intervention through interactive construction and modification of behavior models. Our focus is to introduce the research area of behavior analysis, the challenges faced by this field, current approaches available, and present a new analysis approach: Interactive Relevance Search and Modeling (IRSM). More intelligent ways of conducting data analysis have been explored in recent years. Ma- chine learning and data mining systems that utilize pattern classification and discovery in non-textual
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Oladele, Kazeem Ayinde. "Investigating pluralistic data architectures in data warehousing." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/10534.

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Understanding and managing change is a strategic objective for many organisations to successfully compete in a market place; as a result, organisations are leveraging their data asset and implementing data warehouses to gain business intelligence necessary to improve their businesses. Data warehouses are expensive initiatives, one-half to two-thirds of most data warehousing efforts end in failure. In the absence of well-formalised design methodology in the industry and in the context of the debate on data architecture in data warehousing, this thesis examines why multidimensional and relationa
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Hu, Zonghui. "Semiparametric functional data analysis for longitudinal/clustered data: theory and application." Texas A&M University, 2004. http://hdl.handle.net/1969.1/3088.

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Semiparametric models play important roles in the &#64257;eld of biological statistics. In this dissertation, two types of semiparametic models are to be studied. One is the partially linear model, where the parametric part is a linear function. We are to investigate the two common estimation methods for the partially linear models when the data is correlated — longitudinal or clustered. The other is a semiparametric model where a latent covariate is incorporated in a mixed effects model. We will propose a semiparametric approach for estimation of this model and apply it to the study on colon
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Books on the topic "The data model"

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Kunii, Hideko S. Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4.

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Armstrong, T. W. Trapped radiation model uncertainties: Model, data and model, model comparisons. National Aeronautics and Space Administration, Marshall Space Flight Center, 2000.

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Attiogbé, Christian, and Sadok Ben Yahia, eds. Model and Data Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78428-7.

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Abdelwahed, El Hassan, Ladjel Bellatreche, Mattéo Golfarelli, Dominique Méry, and Carlos Ordonez, eds. Model and Data Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00856-7.

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Bellatreche, Ladjel, and Yannis Manolopoulos, eds. Model and Data Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23781-7.

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Bellatreche, Ladjel, Óscar Pastor, Jesús M. Almendros Jiménez, and Yamine Aït-Ameur, eds. Model and Data Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45547-1.

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Schewe, Klaus-Dieter, and Neeraj Kumar Singh, eds. Model and Data Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32065-2.

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Willems, Jan C., ed. From Data to Model. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-75007-6.

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Ouhammou, Yassine, Mirjana Ivanovic, Alberto Abelló, and Ladjel Bellatreche, eds. Model and Data Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66854-3.

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Cuzzocrea, Alfredo, and Sofian Maabout, eds. Model and Data Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41366-7.

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Book chapters on the topic "The data model"

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Evensen, Geir. "Model errors." In Data Assimilation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03711-5_12.

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Taylor, Ralph B. "Longitudinal Data." In Multilevel Model Foundations. Routledge, 2023. http://dx.doi.org/10.4324/9781003392682-9.

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Ishikawa, Hiroshi. "Data Model." In Computer Science Workbench. Springer Japan, 1993. http://dx.doi.org/10.1007/978-4-431-68308-7_2.

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Alagić, Suad. "Data Model." In Relational Database Technology. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4922-1_2.

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Cao, Nan, and Weiwei Cui. "Data Model." In Introduction to Text Visualization. Atlantis Press, 2016. http://dx.doi.org/10.2991/978-94-6239-186-4_3.

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Weik, Martin H. "data model." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4325.

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Pardo, Scott. "Models, Models Everywhere…Model Selection." In Statistical Analysis of Empirical Data. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43328-4_11.

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Kunii, Hideko S. "Graph Data Model." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_2.

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Kunii, Hideko S. "Data Definition Language." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_3.

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Kunii, Hideko S. "Data Manipulation Language." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_4.

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Conference papers on the topic "The data model"

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Massafra, Angelo, UgoMaria Coraglia, Giorgia Predari, and Riccardo Gulli. "Building Information Model Analysis Through Large Language Models and Knowledge Graphs." In eCAADe 2024: Data-Driven Intelligence. eCAADe, 2024. http://dx.doi.org/10.52842/conf.ecaade.2024.1.685.

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Kopp, Fionna B., and Francesco Borrelli. "Data-Driven Multi-Modal Learning Model Predictive Control." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886732.

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Ankur, Abhishek, Vivek, Shubham Patel, and Md Hadique. "Personality Prediction Model: Using Multi-model Data." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10726089.

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Koupil, Pavel, Sebastián Hricko, and Irena Holubová. "Schema inference for multi-model data." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. ACM, 2022. http://dx.doi.org/10.1145/3550355.3552400.

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Klîmek, Jakub, Pavel Koupil, Petr Škoda, et al. "Atlas: A Toolset for Efficient Model-Driven Data Exchange in Data Spaces." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00009.

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Pierce, Damien M., and Jens Erler. "Constraining supersymmetry with precision data." In Beyond the standard model. American Institute of Physics, 1997. http://dx.doi.org/10.1063/1.54472.

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Abughazala, Moamin, Henry Muccini, and Khitam Qadri. "PyDaQu: Python Data Quality Code Generation Based on Data Architecture." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00020.

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Wenz, Viola, Arno Kesper, and Gabriele Taentzer. "Detecting Quality Problems in Data Models by Clustering Heterogeneous Data Values." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00027.

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Januzaj, Visar. "Data mining meets system modelling." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. ACM, 2018. http://dx.doi.org/10.1145/3270112.3270133.

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Smith, Nick. "Object storage model for CMS data." In Object storage model for CMS data. US DOE, 2024. http://dx.doi.org/10.2172/2477009.

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Reports on the topic "The data model"

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Barton, Tom. eduCourse Data Model. Internet2, 2005. http://dx.doi.org/10.26869/ti.30.1.

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Harris, James, Christopher Young, John Burns, Benjamin Hamlet, Rudy Sandoval, and James Vickers. Draft Data Model. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1762021.

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Harris, James, Christopher Young, John Burns, Benjamin Hamlet, Rudy Sandoval, and James Vickers. Draft Data Model. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1762022.

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Rowe, Lawrence A., and Michael R. Stonebraker. The POSTGRES Data Model. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada184251.

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Dodds, Leigh, Andrew Newman, Anna Scott, Kathryn Corrick, Phil Lang, and Adrian Philpott. Open Data Maturity Model. Open Data Institute, 2015. http://dx.doi.org/10.61557/goub2586.

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Hamlet, Benjamin R., Mark Sinclair Montoya, James Wallace Vickers, and Rudy Daniel Sandoval. Data Model to CSS Mappings. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1331519.

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Rosenberg, J. A Data Model for Presence. RFC Editor, 2006. http://dx.doi.org/10.17487/rfc4479.

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Simpson, B. C., and D. J. McCain. Historical model evaluation data requirements. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/70804.

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Butler, Cary D., David R. Richards, Robert M. Wallace, Norman L. Jones, and Russell Jones. Extensible Model Data Format (XMDF). Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada461368.

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Earl, Mark, David R. Gunning, Eric Freese, Ronald Shroder, and Walter Werts. Content Data Model: Technical Summary. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada222376.

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