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Modellierung und Ausführung von Workflows unter Berücksichtigung mobiler Kontextinformationen

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ISBN: 9783731507543 Year: Pages: XVIII, 362 p. DOI: 10.5445/KSP/1000078961 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-28 18:37:01
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Existing business modeling languages (or their extensions) have time, identity and activity related contexts (or objects) for modeling business processes. In order to support a Context Aware Service, location awareness is needed to enable the application or process to control the related workflows. For the integration of location constraints into workflow models, a concept based on restrictions is being developed in the present work.

Recent advances and the future generation of neuroinformatics infrastructure

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889196777 Year: Pages: 388 DOI: 10.3389/978-2-88919-677-7 Language: English
Publisher: Frontiers Media SA
Subject: Neurology --- Science (General)
Added to DOAB on : 2016-04-07 11:22:02
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The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current achievements and explores the directions for the future generation of neuroinformatics infrastructure. The publications present solutions for data archiving, data processing and workflow, data mining, and system integration methodologies. Some of the systems presented are large in scale, geographically distributed, and already have a well-established user community. Some discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including the common challenges, new technologies of maximum benefit, key features of next generation infrastructure, etc. We have asked leading research groups from different research areas of neuroscience/neuroimaging to provide their thoughts on the development of a state of the art and highly-efficient neuroinformatics infrastructure. Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure.

MAPPING MAnagement and Processing of images for Population ImagiNG

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889452606 Year: Pages: 139 DOI: 10.3389/978-2-88945-260-6 Language: English
Publisher: Frontiers Media SA
Subject: General and Civil Engineering --- Computer Science
Added to DOAB on : 2018-02-27 16:16:44
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Several recent papers underline methodological points that limit the validity of published results in imaging studies in the life sciences and especially the neurosciences (Carp, 2012; Ingre, 2012; Button et al., 2013; Ioannidis, 2014). At least three main points are identified that lead to biased conclusions in research findings: endemic low statistical power and, selective outcome and selective analysis reporting. Because of this, and in view of the lack of replication studies, false discoveries or solutions persist. To overcome the poor reliability of research findings, several actions should be promoted including conducting large cohort studies, data sharing and data reanalysis. The construction of large-scale online databases should be facilitated, as they may contribute to the definition of a “collective mind” (Fox et al., 2014) facilitating open collaborative work or “crowd science” (Franzoni and Sauermann, 2014). Although technology alone cannot change scientists’ practices (Wicherts et al., 2011; Wallis et al., 2013, Poldrack and Gorgolewski 2014; Roche et al. 2014), technical solutions should be identified which support a more “open science” approach. Also, the analysis of the data plays an important role. For the analysis of large datasets, image processing pipelines should be constructed based on the best algorithms available and their performance should be objectively compared to diffuse the more relevant solutions. Also, provenance of processed data should be ensured (MacKenzie-Graham et al., 2008). In population imaging this would mean providing effective tools for data sharing and analysis without increasing the burden on researchers. This subject is the main objective of this research topic (RT), cross-listed between the specialty section “Computer Image Analysis” of Frontiers in ICT and Frontiers in Neuroinformatics. Firstly, it gathers works on innovative solutions for the management of large imaging datasets possibly distributed in various centers. The paper of Danso et al. describes their experience with the integration of neuroimaging data coming from several stroke imaging research projects. They detail how the initial NeuroGrid core metadata schema was gradually extended for capturing all information required for future metaanalysis while ensuring semantic interoperability for future integration with other biomedical ontologies. With a similar preoccupation of interoperability, Shanoir relies on the OntoNeuroLog ontology (Temal et al., 2008; Gibaud et al., 2011; Batrancourt et al., 2015), a semantic model that formally described entities and relations in medical imaging, neuropsychological and behavioral assessment domains. The mechanism of “Study Card” allows to seamlessly populate metadata aligned with the ontology, avoiding fastidious manual entrance and the automatic control of the conformity of imported data with a predefined study protocol. The ambitious objective with the BIOMIST platform is to provide an environment managing the entire cycle of neuroimaging data from acquisition to analysis ensuring full provenance information of any derived data. Interestingly, it is conceived based on the product lifecycle management approach used in industry for managing products (here neuroimaging data) from inception to manufacturing. Shanoir and BIOMIST share in part the same OntoNeuroLog ontology facilitating their interoperability. ArchiMed is a data management system locally integrated for 5 years in a clinical environment. Not restricted to Neuroimaging, ArchiMed deals with multi-modal and multi-organs imaging data with specific considerations for data long-term conservation and confidentiality in accordance with the French legislation. Shanoir and ArchiMed are integrated into FLI-IAM1, the national French IT infrastructure for in vivo imaging.

Keywords

Database --- Infrastructure --- Data --- Workflow --- Neuroimaging --- Image Analysis --- Brain --- MRI

Web engineering for workflow-based applications: models, systems and methodologies

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ISBN: 9783866444270 Year: Pages: X, 237 p. DOI: 10.5445/KSP/1000012936 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:58
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Workflow-based Web applications present a central pillar of companies' endeavors towards increased business process efficiency and flexibility. Considering their particular characteristics, this book presents innovative approaches for their efficient, completely model-driven construction with particular emphasis on effective stakeholder involvement, usability-oriented dialog design and cross-methodological reuse.

Ein Rahmenwerk für die Architektur von Frühwarnsystemen

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Book Series: Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ISSN: 18636489 ISBN: 9783731506386 Year: Volume: 29 Pages: VIII, 303 p. DOI: 10.5445/KSP/1000066509 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:58
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Early warning systems are supposed to deliver information about an emerging threat in order to allow persons and organizations to react accordingly. The design of an early warning system presents complex challenges to the system architects. For this, the present work provides a framework for the architecture of future early warning systems. Particular attention is paid to solve various architectural problems by means of semantic technologies and the automation of workflows.

Product lines for digital information products

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ISBN: 9783866441330 Year: Pages: XIV, 220 p. DOI: 10.5445/KSP/1000006402 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:02
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Digital information products are an important class of widely used digital products, whose core benefit is the delivery of information or education (e.g., electronic books, online newspapers, e-learning courses).This book introduces a novel and systematic approach, Product Lines for Digital Information Products (PLANT), which focuses on the creation of variants of such products within a product line, and which extends concepts from the area of software product lines.

Bidirektionale Abbildung zwischen Geschäftsprozessmodellen und IT-Kommunikationssystemen

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ISBN: 9783731502593 Year: Pages: VIII, 208 p. DOI: 10.5445/KSP/1000042938 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2016-08-11 12:46:28
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How can people with different knowledge and experience use process models in the digital communication and at the same time how can they receive system support through the described processes? This question is solved by a mutual transformation based on natural language which is illustrated with practical examples. Thus, more widespread workflows can be implemented by incorporating system boundaries that were previously hard to overcome.

Open Access and the Library

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ISBN: 9783038977407 Year: Pages: 142 DOI: 10.3390/books978-3-03897-741-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Media and communication
Added to DOAB on : 2019-04-05 10:34:31
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Libraries are places of learning and knowledge creation. Over the last two decades, digital technology—and the changes that came with it—have accelerated this transformation to a point where evolution starts to become a revolution.The wider Open Science movement, and Open Access in particular, is one of these changes and is already having a profound impact. Under the subscription model, the role of libraries was to buy or license content on behalf of their users and then act as gatekeepers to regulate access on behalf of rights holders. In a world where all research is open, the role of the library is shifting from licensing and disseminating to facilitating and supporting the publishing process itself.This requires a fundamental shift in terms of structures, tasks, and skills. It also changes the idea of a library’s collection. Under the subscription model, contemporary collections largely equal content bought from publishers. Under an open model, the collection is more likely to be the content created by the users of the library (researchers, staff, students, etc.), content that is now curated by the library.Instead of selecting external content, libraries have to understand the content created by their own users and help them to make it publicly available—be it through a local repository, payment of article processing charges, or through advice and guidance. Arguably, this is an overly simplified model that leaves aside special collections and other areas. Even so, it highlights the changes that research libraries are undergoing, changes that are likely to accelerate as a result of initiatives such as Plan S.This Special Issue investigates some of the changes in today’s library services that relate to open access.

Methods in Computational Biology

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ISBN: 9783039211630 / 9783039211647 Year: Pages: 214 DOI: 10.3390/books978-3-03921-164-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-08-28 11:21:27
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Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement

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