Results 41 to 50 of about 178,277 (311)

Software Processes Analysis with Provenance

open access: yes, 2018
Companies have been increasing the amount of data that they collect from their systems and processes, considering the decrease in the cost of memory and storage technologies in recent years. The emergence of technologies such as Big Data, Cloud Computing, E-Science, and the growing complexity of information systems made evident that traceability and ...
Gabriella Castro Barbosa Costa   +5 more
openaire   +2 more sources

Securing Provenance-based Audits

open access: yes, 2010
Given the significant increase of on-line services that require personal information from users, the risk that such information is misused has become an important concern.
Rocío Aldeco-Pérez   +3 more
core   +1 more source

Geochemical Data of Scaglia Bianca Chert from Central Italy for Provenance Studies

open access: yesJournal of Open Archaeology Data
This work presents the first geochemical characterization data of Scaglia Bianca Fm chert from Central Italy. The dataset is part of the chert reference collection (SiliROck) of Sapienza, University of Rome, and includes 110 chert samples collected from ...
Elena Carletti   +5 more
doaj   +1 more source

Geochemical Data of Maiolica Chert from Central Italy for Provenance Studies

open access: yesJournal of Open Archaeology Data
This work provides the geochemical characterization data of Maiolica Fm chert from central Italy. The dataset presented here is part of the SiliROck Lithotheque (Sapienza, University of Rome) and includes 97 chert samples collected from the Umbria-Marche
Elena Carletti   +4 more
doaj   +1 more source

A Near Real-Time Big Data Provenance Generation Method Based on the Conjoint Analysis of Heterogeneous Logs

open access: yesIEEE Access, 2023
Data provenance is an effective approach for data security supervision. In the distributed, multi-user, and multi-layer big data system, only the provenance generation method, which leverages the information logged at both application and operating ...
Yuanzhao Gao   +3 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

Analysis of Memory Constrained Live Provenance [PDF]

open access: yes, 2016
We conjecture that meaningful analysis of large-scale provenance can be preserved by analyzing provenance data in limited memory while the data is still in motion; that the provenance needs not be fully resident before analysis can occur. As a proof of concept, this paper defines a stream model for reasoning about provenance data in motion for Big Data
Peng Chen 0015, Tom Evans, Beth Plale
openaire   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

ProvStore: a public provenance repository

open access: yes, 2014
ProvStore is the first online public provenance repository supporting the new PROV standards by W3C. It allows users and applications to store and (optionally) publish the provenance of their data on the Web.
Huynh, Trung Dong   +3 more
core   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

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