scholarly journals Landscape Analysis for the Specimen Data Refinery

2020 ◽  
Vol 6 ◽  
Author(s):  
Stephanie Walton ◽  
Laurence Livermore ◽  
Olaf Bánki ◽  
Robert Cubey ◽  
Robyn Drinkwater ◽  
...  
Keyword(s):  
Natural History ◽  
Software Development ◽  
State Of The Art ◽  
Workflow Management ◽  
Management Systems ◽  
Workflow Management Systems ◽  
Current State ◽  
Development Teams ◽  
Software Development Teams ◽  
Automated Tools

This report reviews the current state-of-the-art applied approaches on automated tools, services and workflows for extracting information from images of natural history specimens and their labels. We consider the potential for repurposing existing tools, including workflow management systems; and areas where more development is required. This paper was written as part of the SYNTHESYS+ project for software development teams and informatics teams working on new software-based approaches to improve mass digitisation of natural history specimens.

scholarly journals Towards an Internet of Science

2019 ◽  
Vol 16 (3) ◽  
Author(s):  
Jens Allmer
Keyword(s):  
Data Analysis ◽  
Complex Analysis ◽  
Workflow Management ◽  
Data Driven ◽  
Management Systems ◽  
Workflow Management Systems ◽  
Read Mapping ◽  
Computational Tools ◽  
Public And Private ◽  
Current State

AbstractBig data and complex analysis workflows (pipelines) are common issues in data driven science such as bioinformatics. Large amounts of computational tools are available for data analysis. Additionally, many workflow management systems to piece together such tools into data analysis pipelines have been developed. For example, more than 50 computational tools for read mapping are available representing a large amount of duplicated effort. Furthermore, it is unclear whether these tools are correct and only a few have a user base large enough to have encountered and reported most of the potential problems. Bringing together many largely untested tools in a computational pipeline must lead to unpredictable results. Yet, this is the current state. While presently data analysis is performed on personal computers/workstations/clusters, the future will see development and analysis shift to the cloud. None of the workflow management systems is ready for this transition. This presents the opportunity to build a new system, which will overcome current duplications of effort, introduce proper testing, allow for development and analysis in public and private clouds, and include reporting features leading to interactive documents.

scholarly journals Specifying and Executing User Agents in an Environment of Reasoning and RESTful Systems Using the Guard-Stage-Milestone Approach

2021 ◽  
Author(s):  
Tobias Käfer ◽  
Benjamin Jochum ◽  
Nico Aßfalg ◽  
Leonard Nürnberg
Keyword(s):  
Linked Data ◽  
Operational Semantics ◽  
Workflow Management ◽  
Management Systems ◽  
Workflow Management Systems ◽  
The Web

AbstractFor Read-Write Linked Data, an environment of reasoning and RESTful interaction, we investigate the use of the Guard-Stage-Milestone approach for specifying and executing user agents. We present an ontology to specify user agents. Moreover, we give operational semantics to the ontology in a rule language that allows for executing user agents on Read-Write Linked Data. We evaluate our approach formally and regarding performance. Our work shows that despite different assumptions of this environment in contrast to the traditional environment of workflow management systems, the Guard-Stage-Milestone approach can be transferred and successfully applied on the web of Read-Write Linked Data.

Workflow management systems in radiology

1998 ◽  
Author(s):  
Thomas Wendler ◽  
Kirsten Meetz ◽  
Joachim Schmidt
Keyword(s):  
Workflow Management ◽  
Management Systems ◽  
Workflow Management Systems

A new optimization phase for scientific workflow management systems

2014 ◽  
Vol 36 ◽  
pp. 352-362 ◽  
Author(s):  
Sonja Holl ◽  
Olav Zimmermann ◽  
Magnus Palmblad ◽  
Yassene Mohammed ◽  
Martin Hofmann-Apitius
Keyword(s):  
Workflow Management ◽  
Scientific Workflow ◽  
Management Systems ◽  
Workflow Management Systems

Product Data Management Systems: State-of-the-Art and the Future

1997 ◽  
Author(s):  
Taner Bilgiç ◽  
Dennis Rock
Keyword(s):  
Data Management ◽  
State Of The Art ◽  
Product Data Management ◽  
Management Systems ◽  
Systems Management ◽  
Engineering Project ◽  
Product Data ◽  
Current State ◽  
Functional Representation ◽  
Near Future

Abstract We survey the current state-of-the-art in (commercial) Product Data Management (PDM) systems. After identifying the major functions of PDM systems, we indicate various shortcomings of the current PDM technology. An important shortcoming is in the representation and use of functions. We review the functional representation literature in the context of PDM technology. Systems management aspects of an engineering project is also commented on. We believe these two areas are the next two challenges awaiting PDM technology in the near future.

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