Topic
Workflow
About: Workflow is a research topic. Over the lifetime, 31996 publications have been published within this topic receiving 498339 citations.
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Papers
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TL;DR: A Building Information Modeling (BIM) enabled information infrastructure for FDD is proposed, which streamlines the information exchange process and therefore has the potential to improve the efficiency of similar works in practice.
139 citations
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30 Oct 2007TL;DR: In this paper, a method of performing production operations of an oilfield having at least one process facility and at least 1 wellsite operatively connected to the facility, each of which having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein, is described.
Abstract: The invention relates to a method of performing production operations of an oilfield having at least one process facility and at least one wellsite operatively connected thereto, each at least one wellsite having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein. The method steps include receiving a number of steps each from at least one of a number of collaborators, specifying an automated workflow including the number of steps and for generating a first well plan, obtaining first data associated with the production operations, applying the automated workflow to the first data to generate the first well plan, adjusting the production operations based on the first well plan, and modifying at least one of the number of steps based on input from at least one of the number of collaborators to generate an updated automated workflow.
139 citations
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TL;DR: Ten guidelines for design of HIT to support chronic disease care are developed, including recommendations to pursue modular approaches to design that would support disease-specific needs.
139 citations
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TL;DR: A survey of the requirements and solutions and challenges in the area of information abstraction and an efficient workflow to extract meaningful information from raw sensor data based on the current state-of-the-art in this area are provided.
Abstract: The term Internet of Things (IoT) refers to the interaction and communication between billions of devices that produce and exchange data related to real-world objects (i.e. things). Extracting higher level information from the raw sensory data captured by the devices and representing this data as machine-interpretable or human-understandable information has several interesting applications. Deriving raw data into higher level information representations demands mechanisms to find, extract, and characterize meaningful abstractions from the raw data. This meaningful abstractions then have to be presented in a human and/or machine-understandable representation. However, the heterogeneity of the data originated from different sensor devices and application scenarios such as e-health, environmental monitoring, and smart home applications, and the dynamic nature of sensor data make it difficult to apply only one particular information processing technique to the underlying data. A considerable amount of methods from machine-learning, the semantic web, as well as pattern and data mining have been used to abstract from sensor observations to information representations. This paper provides a survey of the requirements and solutions and describes challenges in the area of information abstraction and presents an efficient workflow to extract meaningful information from raw sensor data based on the current state-of-the-art in this area. This paper also identifies research directions at the edge of information abstraction for sensor data. To ease the understanding of the abstraction workflow process, we introduce a software toolkit that implements the introduced techniques and motivates to apply them on various data sets.
139 citations
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TL;DR: Understanding end users' perspectives towards HIE technology is crucial to the long-term success of HIE, and user and role-specific customization to accommodate differences in workflow and information needs may increase the adoption and use of Hie.
139 citations