Results 261 to 270 of about 192,753 (304)

Provenance for Astrophysical Data

2018
In the context of astronomy projects, provenance information is important to enable scientists to trace back the origin of a dataset. It is used to learn about the people and organizations involved in a project and assess the quality of the dataset as well as the usefulness of the dataset their scientific work.
Anastasia Galkin, Kristin Riebe, Ole Streicher, François Bonnarel, Mireille Louys, Michèle Sanguillon, Mathieu Servillat, Markus Nullmeier   +7 more
openaire   +2 more sources

Data Provenance in Agriculture

2018
Soils are probably the most critical natural resource in Agriculture, and soils security represents a critical growing global issue. Soils experiments require vast amounts of high-quality data, are very hard to be reproduced, and there are few studies about data provenance of such tests.
Sérgio Manuel Serra da Cruz, Marcos Bacis Ceddia, Renan Carvalho Tàvora Miranda, Gabriel Rizzo, Filipe Klinger, Renato Cerceau, Ricardo Mesquita, Ricardo Cerceau, Élton Carneiro Marinho, Eber Assis Schmitz, Elaine Sigette, Pedro Vieira Cruz   +11 more
openaire   +1 more source

Provenance for Linked Data

2013
Assessing the quality of linked data currently published on the Web is a crucial need of various data-intensive applications. Extensive work on similar applications for relational data and queries has shown that data provenance can be used in order to compute trustworthiness, reputation and reliability of query results, based on the source data and ...
Grigoris Karvounarakis, Irini Fundulaki, Vassilis Christophides   +2 more
openaire   +1 more source

Data Provenance and Security

IEEE Security & Privacy Magazine, 2011
An unanticipated consequence of the Internet age is a pervasive loss of context. Users and organizations receive information in incredible volumes from both internal processes and far-flung, untrusted, and sometimes unknown sources.
openaire   +1 more source

A Data Provenance Visualization Approach

2018 14th International Conference on Semantics, Knowledge and Grids (SKG), 2018
Data Provenance has created an emerging requirement for technologies that enable end users to access, evaluate, and act on the provenance of data in recent years. In the era of Big Data, the amount of data created by corporations around the world has grown each year.
Ilkay Melek Yazici, Erkan Karabulut, Mehmet S. Aktas   +2 more
openaire   +2 more sources

Granularity of geospatial data provenance

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Provenance, the lineage of data products, has been identified as a basic research issue in distributed data and information infrastructures. Provenance could be captured at different levels of granularity. This paper investigates the granularity of provenance for both vector and raster data.
Peng Yue 0002, Mingda Zhang, Xia Guo, Zhenyu Tan   +3 more
openaire   +1 more source

Approximated Summarization of Data Provenance

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015
Many modern applications involve collecting large amounts of data from multiple sources, and then aggregating and manipulating it in intricate ways. The complexity of such applications, combined with the size of the collected data, makes it difficult to understand how the resulting information was derived.
Eleanor, Ainy, Bourhis, Pierre, Davidson, Susan, Deutch, Daniel, Milo, Tova   +4 more
openaire   +2 more sources

Data authentication and provenance management

2007 2nd International Conference on Digital Information Management, 2007
With the proliferation of data on the web, it has become astonishingly easy to locate, modify, and republish data (by republish, we are referring to web publishing and not to paper publications). Hence, in addition to the difficulty in locating the origins of data, it's even harder to know the exact details of the "history" of a data item.
Hadi Sabaa, Brajendra Panda
openaire   +1 more source

Analysing the Provenance of IoT Data

2020
The Internet of Things (IoT) is leading to a smartification of our society: we are surrounded by many smart devices that automatically collect and exchange data of various kinds and provenance. Many of these data are critical because they are used to train learning algorithms, to control cyber-physical systems or to guide administrators to take ...
Chiara Bodei, Letterio Galletta
openaire   +1 more source

Provenance in sensor data management

Communications of the ACM, 2014
A cohesive, independent solution for bringing provenance to scientific research.
Zachary Hensley, Jibonananda Sanyal, Joshua R. New   +2 more
openaire   +1 more source