Relevant bibliographies by topics / Workflow

Academic literature on the topic 'Workflow'

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Published: 4 June 2021
Last updated: 27 July 2024

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Journal articles on the topic "Workflow"

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Song, Tianhong, Sven Köhler, Bertram Ludäscher, James Hanken, Maureen Kelly, David Lowery, James A. Macklin, Paul J. Morris, and Robert A. Morris. "Towards Automated Design, Analysis and Optimization of Declarative Curation Workflows." International Journal of Digital Curation 9, no. 2 (October 29, 2014): 111–22. http://dx.doi.org/10.2218/ijdc.v9i2.337.

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Data curation is increasingly important. Our previous work on a Kepler curation package has demonstrated advantages that come from automating data curation pipelines by using workflow systems. However, manually designed curation workflows can be error-prone and inefficient due to a lack of user understanding of the workflow system, misuse of actors, or human error. Correcting problematic workflows is often very time-consuming. A more proactive workflow system can help users avoid such pitfalls. For example, static analysis before execution can be used to detect the potential problems in a workflow and help the user to improve workflow design. In this paper, we propose a declarative workflow approach that supports semi-automated workflow design, analysis and optimization. We show how the workflow design engine helps users to construct data curation workflows, how the workflow analysis engine detects different design problems of workflows and how workflows can be optimized by exploiting parallelism.
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Deng, Ning, Xiao Dong Zhu, Yuan Ning Liu, Yan Pu Li, and Ying Chen. "A Workflow Management Model Based on Workflow Node Property." Applied Mechanics and Materials 442 (October 2013): 450–57. http://dx.doi.org/10.4028/www.scientific.net/amm.442.450.

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Workflow management systems are the powerful tools as well as the best supports for industries which involve series of complex workflows. Specifically, two of the main objectives of workflows management system are (1) ensuring the correctness and integration of workflow advancement, and (2) carrying workflow forward to the maximum extent automatically. To ensure the correctness and integration of workflow management system, in this paper, a workflow management method based on the workflow node property is proposed, and a workflow management system model is given. In addition, in the given model, an automatic advance mode is proposed to make the workflow is able to be carried on automatically.
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Suetake, Hirotaka, Tomoya Tanjo, Manabu Ishii, Bruno P. Kinoshita, Takeshi Fujino, Tsuyoshi Hachiya, Yuichi Kodama, et al. "Sapporo: A workflow execution service that encourages the reuse of workflows in various languages in bioinformatics." F1000Research 11 (August 4, 2022): 889. http://dx.doi.org/10.12688/f1000research.122924.1.

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The increased demand for efficient computation in data analysis encourages researchers in biomedical science to use workflow systems. Workflow systems, or so-called workflow languages, are used for the description and execution of a set of data analysis steps. Workflow systems increase the productivity of researchers, specifically in fields that use high-throughput DNA sequencing applications, where scalable computation is required. As systems have improved the portability of data analysis workflows, research communities are able to share workflows to reduce the cost of building ordinary analysis procedures. However, having multiple workflow systems in a research field has resulted in the distribution of efforts across different workflow system communities. As each workflow system has its unique characteristics, it is not feasible to learn every single system in order to use publicly shared workflows. Thus, we developed Sapporo, an application to provide a unified layer of workflow execution upon the differences of various workflow systems. Sapporo has two components: an application programming interface (API) that receives the request of a workflow run and a browser-based client for the API. The API follows the Workflow Execution Service API standard proposed by the Global Alliance for Genomics and Health. The current implementation supports the execution of workflows in four languages: Common Workflow Language, Workflow Description Language, Snakemake, and Nextflow. With its extensible and scalable design, Sapporo can support the research community in utilizing valuable resources for data analysis.
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Liu, Yong Shan, Yan Qing Shen, and Tian Bao Hao. "Research on Reliability Modeling of Cross-Organizational Workflows Based on Hierarchical Colored Petri Nets." Advanced Materials Research 186 (January 2011): 505–9. http://dx.doi.org/10.4028/www.scientific.net/amr.186.505.

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To reduce the complexity of cross-organizational workflow modeling and verification, a reliable modeling method of cross-organizational workflows based on hierarchical colored Petri nets is proposed. At the foundation of discussing formal definitions of global and local workflows, the paper develops reliability modeling constraints of cross-organizational workflows from structure to logic. Under these constraints, a top-down cross-organizational workflow model is built. Those substitution transitions which input places were safe in global workflow are refined by reliable local workflows to guarantee the reliability of cross-organizational workflow model.
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Lamprecht, Anna-Lena, Magnus Palmblad, Jon Ison, Veit Schwämmle, Mohammad Sadnan Al Manir, Ilkay Altintas, Christopher J. O. Baker, et al. "Perspectives on automated composition of workflows in the life sciences." F1000Research 10 (September 7, 2021): 897. http://dx.doi.org/10.12688/f1000research.54159.1.

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Scientific data analyses often combine several computational tools in automated pipelines, or workflows. Thousands of such workflows have been used in the life sciences, though their composition has remained a cumbersome manual process due to a lack of standards for annotation, assembly, and implementation. Recent technological advances have returned the long-standing vision of automated workflow composition into focus. This article summarizes a recent Lorentz Center workshop dedicated to automated composition of workflows in the life sciences. We survey previous initiatives to automate the composition process, and discuss the current state of the art and future perspectives. We start by drawing the “big picture” of the scientific workflow development life cycle, before surveying and discussing current methods, technologies and practices for semantic domain modelling, automation in workflow development, and workflow assessment. Finally, we derive a roadmap of individual and community-based actions to work toward the vision of automated workflow development in the forthcoming years. A central outcome of the workshop is a general description of the workflow life cycle in six stages: 1) scientific question or hypothesis, 2) conceptual workflow, 3) abstract workflow, 4) concrete workflow, 5) production workflow, and 6) scientific results. The transitions between stages are facilitated by diverse tools and methods, usually incorporating domain knowledge in some form. Formal semantic domain modelling is hard and often a bottleneck for the application of semantic technologies. However, life science communities have made considerable progress here in recent years and are continuously improving, renewing interest in the application of semantic technologies for workflow exploration, composition and instantiation. Combined with systematic benchmarking with reference data and large-scale deployment of production-stage workflows, such technologies enable a more systematic process of workflow development than we know today. We believe that this can lead to more robust, reusable, and sustainable workflows in the future.
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Oliva, Gustavo Ansaldi, Marco Aurélio Gerosa, Fabio Kon, Virginia Smith, and Dejan Milojicic. "A Static Change Impact Analysis Approach based on Metrics and Visualizations to Support the Evolution of Workflow Repositories." International Journal of Web Services Research 13, no. 2 (April 2016): 74–101. http://dx.doi.org/10.4018/ijwsr.2016040105.

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In ever-changing business environments, organizations continuously refine their processes to benefit from and meet the constraints of new technology, new business rules, and new market requirements. Workflow management systems (WFMSs) support organizations in evolving their processes by providing them with technological mechanisms to design, enact, and monitor workflows. However, workflows repositories often grow and start to encompass a variety of interdependent workflows. Without appropriate tool support, keeping track of such interdependencies and staying aware of the impact of a change in a workflow schema becomes hard. Workflow designers are often blindsided by changes that end up inducing side- and ripple-effects. This poses threats to the reliability of the workflows and ultimately hampers the evolvability of the workflow repository as a whole. In this paper, the authors introduce a change impact analysis approach based on metrics and visualizations to support the evolution of workflow repositories. They implemented the approach and later integrated it as a module in the HP Operations Orchestration (HP OO) WFMS. The authors conducted an exploratory study in which they thoroughly analyzed the workflow repositories of 8 HP OO customers. They characterized the customer repositories from a change impact perspective and compared them against each other. The authors were able to spot the workflows with high change impact among thousands of workflows in each repository. They also found that while the out-of-the-box repository included in HP OO had 10 workflows with high change impact, customer repositories included 11 (+10%) to 35 (+250%) workflows with this same characteristic. This result indicates the extent to which customers should put additional effort in evolving their repositories. The authors' approach contributes to the body of knowledge on static workflow evolution and complements existing dynamic workflow evolution approaches. Their techniques also aim to help organizations build more flexible and reliable workflow repositories.
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BLIN, MARIE JOSÉ, JACQUES WAINER, and CLAUDIA BAUZER MEDEIROS. "A REUSE-ORIENTED WORKFLOW DEFINITION LANGUAGE." International Journal of Cooperative Information Systems 12, no. 01 (March 2003): 1–36. http://dx.doi.org/10.1142/s0218843003000553.

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This paper presents a new formalism for workflow process definition, which combines research in programming languages and in database systems. This formalism is based on creating a library of workflow building blocks, which can be progressively combined and nested to construct complex workflows. Workflows are specified declaratively, using a simple high level language, which allows the dynamic definition of exception handling and events, as well as dynamically overriding workflow definition. This ensures a high degree of flexibility in data and control flow specification, as well as in reuse of workflow specifications to construct other workflows. The resulting workflow execution environment is well suited to supporting cooperative work.
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WANG, JIACUN, and DEMIN LI. "RESOURCE ORIENTED WORKFLOW NETS AND WORKFLOW RESOURCE REQUIREMENT ANALYSIS." International Journal of Software Engineering and Knowledge Engineering 23, no. 05 (June 2013): 677–93. http://dx.doi.org/10.1142/s0218194013400135.

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Petri nets are a powerful formalism in modeling workflows. A workflow determines the flow of work according to pre-defined business process. In many situations, business processes are constrained by scarce resources. The lack of resources can cause contention, the need for some tasks to wait for others to complete, which slows down the accomplishment of larger goals. In our previous work, a resource-constrained workflow model was introduced and a resource requirement analysis approach was developed for emergency response workflows, in which support of on-the-fly workflow change is critical [14]. In this paper, we propose a Petri net based approach for recourse requirements analysis, which can be used for more general purposes. The concept of resource-oriented workflow nets (ROWN) is introduced and the transition firing rules of ROWN are presented. Resource requirements for general workflows can be done through reachability analysis. An efficient resource analysis algorithm is developed for a class of well-structured workflows, in which when a task execution is started it is guaranteed to finish successfully. For a task that may fail in the middle of execution, an equivalent non-failing task model in terms of resource consumption is developed.
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Zulfiqar, Mahnoor, Michael R. Crusoe, Birgitta König-Ries, Christoph Steinbeck, Kristian Peters, and Luiz Gadelha. "Implementation of FAIR Practices in Computational Metabolomics Workflows—A Case Study." Metabolites 14, no. 2 (February 10, 2024): 118. http://dx.doi.org/10.3390/metabo14020118.

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Scientific workflows facilitate the automation of data analysis tasks by integrating various software and tools executed in a particular order. To enable transparency and reusability in workflows, it is essential to implement the FAIR principles. Here, we describe our experiences implementing the FAIR principles for metabolomics workflows using the Metabolome Annotation Workflow (MAW) as a case study. MAW is specified using the Common Workflow Language (CWL), allowing for the subsequent execution of the workflow on different workflow engines. MAW is registered using a CWL description on WorkflowHub. During the submission process on WorkflowHub, a CWL description is used for packaging MAW using the Workflow RO-Crate profile, which includes metadata in Bioschemas. Researchers can use this narrative discussion as a guideline to commence using FAIR practices for their bioinformatics or cheminformatics workflows while incorporating necessary amendments specific to their research area.
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Willoughby, Cerys, and Jeremy G. Frey. "Documentation and Visualisation of Workflows for Effective Communication, Collaboration and Publication @ Source." International Journal of Digital Curation 12, no. 1 (September 16, 2017): 72–87. http://dx.doi.org/10.2218/ijdc.v12i1.532.

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Workflows processing data from research activities and driving in silico experiments are becoming an increasingly important method for conducting scientific research. Workflows have the advantage that not only can they be automated and used to process data repeatedly, but they can also be reused – in part or whole – enabling them to be evolved for use in new experiments. A number of studies have investigated strategies for storing and sharing workflows for the benefit of reuse. These have revealed that simply storing workflows in repositories without additional context does not enable workflows to be successfully reused. These studies have investigated what additional resources are needed to facilitate users of workflows and in particular to add provenance traces and to make workflows and their resources machine-readable. These additions also include adding metadata for curation, annotations for comprehension, and including data sets to provide additional context to the workflow. Ultimately though, these mechanisms still rely on researchers having access to the software to view and run the workflows. We argue that there are situations where researchers may want to understand a workflow that goes beyond what provenance traces provide and without having to run the workflow directly; there are many situations in which it can be difficult or impossible to run the original workflow. To that end, we have investigated the creation of an interactive workflow visualization that captures the flow chart element of the workflow with additional context including annotations, descriptions, parameters, metadata and input, intermediate, and results data that can be added to the record of a workflow experiment to enhance both curation and add value to enable reuse. We have created interactive workflow visualisations for the popular workflow creation tool KNIME, which does not provide users with an in-built function to extract provenance information that can otherwise only be viewed through the tool itself. Making use of the strengths of KNIME for adding documentation and user-defined metadata we can extract and create a visualisation and curation package that encourages and enhances curation@source, facilitating effective communication, collaboration, and reuse of workflows.
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Dissertations / Theses on the topic "Workflow"

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Dai, Zhen Zhong. "Workflow application and workflow engine." Thesis, University of Macau, 2005. http://umaclib3.umac.mo/record=b1447902.

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Ho, Kam Seng. "Workflow testing." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2550562.

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Atmire, Atmire. "Test Workflow." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/46073.

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Fleuren, Tino [Verfasser]. "Workflow-Skelette: Konzeptionen zur Modellierung und effizienten Ausführung wissenschaftlicher Workflows / Tino Fleuren." München : Verlag Dr. Hut, 2014. http://d-nb.info/1064560415/34.

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Gu, Shuqing, and Shuqing Gu. "An Autonomic Workflow Performance Manager for Weather Forecast and Research Modeling Workflows." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/621837.

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Parameter selection is a critical task in scientific workflows in order to maintain the accuracy of the simulation in an environment where physical conditions change dynamically such as in the case of weather research and forecast simulations. Currently, Numerical Weather Prediction (NWP) is the premier method for weather prediction, which is used by the National Oceanic and Atmospheric Administration (NOAA). It takes the current observations from observed sites as the input for numeric computer models and then produces the final prediction. Considering the large number of simulation parameters, the size of the configuration search space becomes prohibitive for rapidly evaluating and identifying the parameter configuration that leads to most accurate prediction. In this thesis, we develop an Autonomic Workflow Performance Manager (AWPM) for Hurricane Integrated Modeling System (HIMS). AWPM is implemented on top of the Apache Storm and ZooKeeper to handle multiple real-time data streams for weather forecast. AWPM can automatically manage model initialization and execution workflow and achieve better performance and efficiency. In our experiments, AWPM achieves better performance and efficiency for the model initialization and execution processes, by utilizing automatic computing, distributed computing and component-based development. We reduced the timescale of the configuration search workflow by a factor of 10 by using 20 threads with the full search method, and a factor of 20 by with the roofline method when compared to serial workflow execution as it is typically performed by domain scientists.
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Kunis, Raphael. "Konzeption und Entwicklung einer Schnittstelle zur hierarchischen Abarbeitung räumlich verteilter Workflows." Master's thesis, Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200500416.

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In dieser Diplomarbeit wird eine Möglichkeit für die Abarbeitung von verteilten Workflows konzeptuell erarbeitet und prototypisch implementiert. Dabei werden als Grundlage des Konzepts die Standards der Workflow Management Coalition zur Beschreibung von Workflows und Workflow Management Systemen verwendet. Für die verteilte Abarbeitung von Prozessen wurde eine RMI-basierte Abwandlung des ASAP-Protokolls implementiert. Die Implementierung nutzt Enhydra Shark als Laufzeitumgebung und die Schnittstellen für die verteilte Abarbeitung sind für dieses System angepasst. Anhand von Beispielen und Testfällen wird die Funktionsweise des erstellten Konzepts und seiner Realisierung verdeutlicht.
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LEMOS, MELISSA. "WORKFLOW FOR BIOINFORMATICS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5928@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Os projetos para estudo de genomas partem de uma fase de sequenciamento onde são gerados em laboratório dados brutos, ou seja, sequências de DNA sem significado biológico. As sequências de DNA possuem códigos responsáveis pela produção de proteínas e RNAs, enquanto que as proteínas participam de todos os fenômenos biológicos, como a replicação celular, produção de energia, defesa imunológica, contração muscular, atividade neurológica e reprodução. As sequências de DNA, RNA e proteínas são chamadas nesta tese de biossequências. Porém, o grande desafio destes projetos consiste em analisar essas biossequências, e obter informações biologicamente relevantes. Durante a fase de análise, os pesquisadores usam diversas ferramentas, programas de computador, e um grande volume de informações armazenadas em fontes de dados de Biologia Molecular. O crescente volume e a distribuição das fontes de dados e a implementação de novos processos em Bioinformática facilitaram enormemente a fase de análise, porém criaram uma demanda por ferramentas e sistemas semi-automáticos para lidar com tal volume e complexidade. Neste cenário, esta tese aborda o uso de workflows para compor processos de Bioinformática, facilitando a fase de análise. Inicialmente apresenta uma ontologia modelando processos e dados comumente utilizados em Bioinformática. Esta ontologia foi derivada de um estudo cuidadoso, resumido na tese, das principais tarefas feitas pelos pesquisadores em Bioinformática. Em seguida, a tese propõe um framework para um sistema de gerência de análises em biossequências, composto por dois sub-sistemas. O primeiro é um sistema de gerência de workflows de Bioinformática, que auxilia os pesquisadores na definição, validação, otimização e execução de workflows necessários para se realizar as análises. O segundo é um sistema de gerência de dados em Bioinformática, que trata do armazenamento e da manipulação dos dados envolvidos nestas análises. O framework inclui um gerente de ontologias, armazenando ontologias para Bioinformática, nos moldes da apresentada anteriormente. Por fim, a tese descreve instanciações do framework para três tipos de ambiente de trabalho comumente encontrados e sugestivamente chamados de ambiente pessoal, ambiente de laboratório e ambiente de comunidade. Para cada um destes ambientes, a tese discute em detalhe os aspectos particulares da execução e otimização de workflows.
Genome projects usually start with a sequencing phase, where experimental data, usually DNA sequences, is generated, without any biological interpretation. DNA sequences have codes which are responsible for the production of protein and RNA sequences, while protein sequences participate in all biological phenomena, such as cell replication, energy production, immunological defense, muscular contraction, neurological activity and reproduction. DNA, RNA and protein sequences are called biosequences in this thesis. The fundamental challenge researchers face lies exactly in analyzing these sequences to derive information that is biologically relevant. During the analysis phase, researchers use a variety of analysis programs and access large data sources holding Molecular Biology data. The growing number of Bioinformatics data sources and analysis programs indeed enormously facilitated the analysis phase. However, it creates a demand for systems that facilitate using such computational resources. Given this scenario, this thesis addresses the use of workflows to compose Bioinformatics analysis programs that access data sources, thereby facilitating the analysis phase. An ontology modeling the analysis program and data sources commonly used in Bioinformatics is first described. This ontology is derived from a careful study, also summarized in the thesis, of the computational resources researchers in Bioinformatics presently use. A framework for biosequence analysis management systems is next described. The system is divided into two major components. The first component is a Bioinformatics workflow management system that helps researchers define, validate, optimize and run workflows combining Bioinformatics analysis programs. The second component is a Bioinformatics data management system that helps researchers manage large volumes of Bioinformatics data. The framework includes an ontology manager that stores Bioinformatics ontologies, such as that previously described. Lastly, instantiations for the Bioinformatics workflow management system framework are described. The instantiations cover three types of working environments commonly found and suggestively called personal environment, laboratory environment and community environment. For each of these instantiations, aspects related to workflow optimization and execution are carefully discussed.
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VIEIRA, TATIANA ALMEIDA SOUZA COELHO. "FLEXIBLE WORKFLOW EXECUTION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7738@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Sistemas de gerência de workflow geralmente interpretam rigidamente a definição um workflow, não permitindo qualquer tipo de desvio durante a execução. No entanto, existem situaçãoes reais em que usuários devem poder desviar do fluxo pré-definido por diversas razãoes, incluindo falta de informação do valor de um parâmetro e indisponibilidade de recursos necessários á execução. Para alcançar execução flexível, esta tese propõe um mecanismo de tratamento de exceções, voltado para flexibilização, que permite a continuação da execução de uma instância quando antes ela deveria ser momentaneamente interrompida. A proposta concretiza-se como um conjunto de extensões a OWL-S, a linguagem adotada para a definição de workflows, e baseia-se em ontologias de processos e recursos, que oferecem a informação semântica necessária para o funcionamento do mecanismo. A tese apresenta ainda uma semântica operacional para um fragmento de OWL-S e para as extensões propostas, bem como uma arquitetura distribuída para um sistema de gerência de workflows. Em particular, a semântica proporciona uma forma de comportamento transacional para a execução de uma instância de workflow, no sentido de garantir que ou todas as ações da instância terminam corretamente, ou todas são abandonadas.
Workflow management systems usually interpret a workflow definition rigidly, allowing no deviations during execution. However, there are real life situations where users should be allowed to deviate from the prescribed static workflow definition for various reasons, including lack of information about parameter values and unavailability of the required resources. To flexibilize workflow execution, this thesis proposes an exception handling mechanism that allows the execution to proceed when otherwise it would have been stopped. The proposal is introduced as a set of extensions to OWL-S, the language adopted to define workflows, and is based on process and resource ontologies that capture the semantic information needed for the flexibilization mechanism. The thesis also defines an operational semantics for a fragment of OWL-S and the proposed extensions, as well as a distributed architecture for a workflow management system. In particular, the semantics define a form of transactional behavior for the execution of a workflow instance, in the sense that it guarantees that either all actions executed by the instance terminate correctly or they are all abandoned.
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Ottensooser, Avner B. "Dynamic Workflow-Engine." Thesis, The University of Sydney, 2011. http://hdl.handle.net/2123/8120.

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We present and assess the novel thesis that a language commonly accepted for requirement elicitation is worth using for configuration of business process automation systems. We suggest that Cockburn's well accepted requirements elicitation language - the written use case language, with a few extensions, ought to be used as a workflow modelling language. We evaluate our thesis by studying in detail an industrial implementation of a workflow engine whose workflow modelling language is our extended written use case language; by surveying the variety of business processes that can be expressed by our extended written use case language; and by empirically assessing the readability of our extended written use case language. Our contribution is sixfold: (i) an architecture with which a workflow engine whose workflow modelling language is an extended written use case language can be built, configured, used and monitored; (ii) a detailed study of an industrial implementation of use case oriented workflow engine; (iii) assessment of the expressive power of the extended written use case language which is based on a known pattern catalogue; (iv) another assessments of the expressive power of the extended written use case language which is based on an equivalence to a formal model that is known to be expressive; (v) an empirical evaluation in industrial context of the readability of our extended written use case language in comparison to the readability of the incumbent graphical languages; and (vi) reflections upon the state of the art, methodologies, our results, and opportunities for further research. Our conclusions are that a workflow engine whose workflow modelling language is an extended written use case language can be built, configured, used and monitored; that in an environment that calls upon an extended written use case language as a workflow modelling language, the transition between the modelling and verification state, enactment state, and monitoring state is dynamic; that a use case oriented workflow engine was implemented in industrial settings and that the approach was well accepted by management, workflow configuration officers and workflow participants alike; that the extended written use case language is quite expressive, as much as the incumbent graphical languages; and that in industrial context an extended written use case language is an efficient communication device amongst stakeholders.
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Bitzer, Sharon Marie. "Workflow reengineering : a methodology for business process reengineering with workflow management technology /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304322.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1995.
Thesis advisor(s): Magdi Kamel, James C. Emery. "September 1995." Bibliography: p. 187-191. Also available online.
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Books on the topic "Workflow"

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Mayer, Doron. Workflow. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212.

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Hoffmann-Walbeck, Thomas. Workflow Automation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84782-1.

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Wersch, Markus. Workflow Management. Wiesbaden: Deutscher Universitätsverlag, 1995. http://dx.doi.org/10.1007/978-3-322-99825-5.

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Steve, Hannaford, ed. Workflow reengineering. Mountain View, Calif: Adobe Press, 1996.

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1954-, Lawrence Peter, and Workflow Management Coalition, eds. Workflow handbook 1997. Chichester: Wiley, 1997.

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Collins, Mark J. Office 2010 Workflow. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2905-6.

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Group, Datapro Information Services, ed. Information management & workflow. Delran, N.J: Datapro Information Services Group, 1994.

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Group, Delphi, ed. Directions in workflow. Boston, MA: Delphi Group, 1998.

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Berthold, Andreas. SAP business workflow. Munich: Addison-Wesley, 1999.

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Udayakumar, Ethirajulu, and ebrary Inc, eds. Professional workflow in SharePoint 2010: Real world business workflow solutions. Indianapolis, Ind: Wiley, 2012.

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Book chapters on the topic "Workflow"

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Steyer, Manfred, Holger Schwichtenberg, Matthias Fischer, and Jörg Krause. "Workflows und Workflow Services." In Verteilte Systeme und Services mit .NET 4.5, 479–532. München: Carl Hanser Verlag GmbH & Co. KG, 2013. http://dx.doi.org/10.3139/9783446435650.012.

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Mayer, Doron. "Breaking Your Thinking Patterns." In Workflow, 53–62. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-10.

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Mayer, Doron. "Forming Concepts." In Workflow, 63–70. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-11.

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Mayer, Doron. "Your Final Concept." In Workflow, 71–74. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-12.

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Mayer, Doron. "The Concept Safety Rules." In Workflow, 75–78. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-13.

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Mayer, Doron. "Conclusion." In Workflow, 79–80. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-14.

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Mayer, Doron. "The Gap." In Workflow, 83–88. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-16.

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Mayer, Doron. "The Study." In Workflow, 89–100. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-17.

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Mayer, Doron. "The Premake." In Workflow, 101–10. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-18.

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Mayer, Doron. "The Vision Safety Rules." In Workflow, 111–16. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b22212-19.

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Conference papers on the topic "Workflow"

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Gil, Yolanda. "Mapping Semantic Workflows to Alternative Workflow Execution Engines." In 2013 IEEE Seventh International Conference on Semantic Computing (ICSC). IEEE, 2013. http://dx.doi.org/10.1109/icsc.2013.70.

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Grossman, Alex, and Skip Levens. "Workflow Optimised Storage Key Differentiator in High Resolution Workflows." In SMPTE Australia Conference. IEEE, 2015. http://dx.doi.org/10.5594/m001613.

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Agarkhed, Jayashree, and R. Ashalatha. "Optimal workflow scheduling for scientific workflows in cloud computing." In 2016 International Conference on Emerging Technological Trends (ICETT). IEEE, 2016. http://dx.doi.org/10.1109/icett.2016.7873739.

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Kradolfer, M., and A. Geppert. "Dynamic workflow schema evolution based on workflow type versioning and workflow migration." In Proceedings Fourth IFCIS International Conference on Cooperative Information Systems. CoopIS 99 (Cat. No.PR00384). IEEE, 1999. http://dx.doi.org/10.1109/coopis.1999.792162.

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Robinson, Andrew J., Wenny J. Rahayu, and Tharam Dillon. "WAD Workflow System: Data-Centric Workflow System." In 2009 Australian Software Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/aswec.2009.26.

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De Smet, Bart J. F., Kristof Steurbaut, Sofie Van Hoecke, Filip De Turck, and Bart Dhoedt. "Dynamic Workflow Instrumentation for Windows Workflow Foundation." In International Conference on Software Engineering Advances (ICSEA 2007). IEEE, 2007. http://dx.doi.org/10.1109/icsea.2007.30.

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Johansson, Sven Erik, Benedikte Harstad Kallåk, Thomas Bech Pettersen, and Jan Erik Ressem. "Expert workflow." In Addendum to the 1997 ACM SIGPLAN conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/274567.274576.

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Hettne, Kristina, Stian Soiland-Reyes, Graham Klyne, Khalid Belhajjame, Matthew Gamble, Sean Bechhofer, Marco Roos, and Oscar Corcho. "Workflow forever." In the 4th International Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2166896.2166909.

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Woodman, Simon, Hugo Hiden, and Paul Watson. "Workflow provenance." In SC15: The International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2822332.2822341.

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Sheth, Amit. "Workflow automation." In the 1995 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/223784.223882.

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Reports on the topic "Workflow"

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Rudin, Sven Peter. Workflow for Alloy Design. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1479913.

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Montoya, Laura Elena. Test for WebSphere Workflow. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1494335.

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Moshofsky, R. P., and W. T. Rohen. Workflow automation architecture standard. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10107952.

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Friedman-Hill, Ernest J., Edward L. Hoffman, Marcus J. Gibson, and Robert L. Clay. Integrated Sensitivity Analysis Workflow. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1171554.

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Salter, R., Quyen Dong, Cody Coleman, Maria Seale, Alicia Ruvinsky, LaKenya Walker, and W. Bond. Data Lake Ecosystem Workflow. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40203.

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Abstract:
The Engineer Research and Development Center, Information Technology Laboratory’s (ERDC-ITL’s) Big Data Analytics team specializes in the analysis of large-scale datasets with capabilities across four research areas that require vast amounts of data to inform and drive analysis: large-scale data governance, deep learning and machine learning, natural language processing, and automated data labeling. Unfortunately, data transfer between government organizations is a complex and time-consuming process requiring coordination of multiple parties across multiple offices and organizations. Past successes in large-scale data analytics have placed a significant demand on ERDC-ITL researchers, highlighting that few individuals fully understand how to successfully transfer data between government organizations; future project success therefore depends on a small group of individuals to efficiently execute a complicated process. The Big Data Analytics team set out to develop a standardized workflow for the transfer of large-scale datasets to ERDC-ITL, in part to educate peers and future collaborators on the process required to transfer datasets between government organizations. Researchers also aim to increase workflow efficiency while protecting data integrity. This report provides an overview of the created Data Lake Ecosystem Workflow by focusing on the six phases required to efficiently transfer large datasets to supercomputing resources located at ERDC-ITL.
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Lisa, Johnston. The DCN Curation Workflow. University of Tennessee, Knoxville Libraries, 2021. http://dx.doi.org/10.7290/bw893st4dk.

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Nguyen, Daniel. Workflow Critical Path: A Data-Oriented Critical Path Metric for Holistic HPC Workflows. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7369.

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Smith, Timothy J., and Stephany Bryant. Ferret Workflow Anomaly Detection System. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada430829.

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McDevitt, Mike, Mike Zabarouskas, and John Crook. Ship Repair Workflow Cost Model. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada418381.

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Earl, Charles. Insightful Workflow For Grid Computing. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/941421.

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