Workflow systems turn raw data into scientific knowledge
نویسندگان
چکیده
منابع مشابه
Data-Centric Scientific Workflow Management Systems
Data-Centric Scientific Workflow Management Systems
متن کاملUsing Semantics and Statistics to Turn Data into Knowledge
SPRING 2015 65 Agrowing body of research focuses on extracting knowledge from text such as news reports, encyclopedic articles, and scholarly research in specialized domains. Much of this data is freely available on the World Wide Web and harnessing the knowledge contained in millions of web documents remains a problem of particular interest. The scale and diversity of this content pose a formi...
متن کاملUsing Semantics & Statistics to Turn Data into Knowledge
Many information extraction and knowledge base construction systems are addressing the challenge of deriving knowledge from text. A key problem in constructing these knowledge bases from sources like the web is overcoming the erroneous and incomplete information found in millions of candidate extractions. To solve this problem, we turn to semantics – using ontological constraints between candid...
متن کاملTransformation of Pervasive Raw Data Into Actionable Knowledge∗
This paper presents an architecture for addressing the transformation of large volume of data generated by pervasive and other sensor applications in a timely manner (or subject to quality of service or QoS constraints). As the size and rate at which raw data is generated increases, novel approaches for meaningful reduction and extraction of actionable information from the data are needed. In t...
متن کاملProvenance in Scientific Workflow Systems
The automated tracking and storage of provenance information promises to be a major advantage of scientific workflow systems. We discuss issues related to data and workflow provenance, and present techniques for focusing user attention on meaningful provenance through “user views,” for managing the provenance of nested scientific data, and for using information about the evolution of a workflow...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature
سال: 2019
ISSN: 0028-0836,1476-4687
DOI: 10.1038/d41586-019-02619-z