Results 31 to 40 of about 9,400 (149)
Abstract Provenance Graphs: Anticipating and Exploiting Schema-Level Data Provenance [PDF]
, 2010 Provenance graphs capture flow and dependency information recorded during scientific workflow runs, which can be used subsequently to interpret, validate, and debug workflow results. In this paper, we propose the new concept of Abstract Provenance Graphs (APGs). APGs are created via static analysis of a configured workflow W and input data schema, i.e.,
Daniel Zinn, Bertram Ludäscher
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Dynamic provenance for SPARQL updates using named graphs [PDF]
Proceedings of the 23rd International Conference on World Wide Web, 2014 While the (Semantic) Web currently does have a way to exhibit static provenance information in the W3C PROV standards, the Web does not have a way to describe dynamic changes to data. While some provenance models and annotation techniques originally developed with databases or workflows in mind transfer readily to RDF, RDFS and SPARQL, these techniques
Harry Halpin, James Cheney
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BPGV: Behavioral provenance graph views to enhance anomaly detection
International Journal of Information Management Data InsightsProvenance-based Intrusion Detection Systems (PIDS) have shown potential in mitigating cyber threats in dynamic real-world environments. PIDS construct provenance graphs from audit logs to detect anomalous nodes, edges, or subgraph patterns.
Michael Zipperle +4 more
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Structural Analysis of Whole-System Provenance Graphs [PDF]
, 2018 System based provenance generates traces captured from various systems, a representation method for inferring these traces is a graph. These graphs are not well understood, and current work focuses on their extraction and processing, without a thorough characterization being in place. This paper studies the topology of such graphs.
Jyothish Soman +5 more
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IEEE Access, 2019 Data analytics processes such as scientific workflows tend to be executed repeatedly, with varying dependencies and input datasets. The case has been made in the past for tracking the provenance of the final information products through the workflow ...
Priyaa Thavasimani +2 more
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Security-Aware Provenance for Transparency in IoT Data Propagation
IEEE Access, 2023 A successful application of an Internet of Things (IoT) based network depends on the accurate and successful delivery of data collected from numerous sources.
Fariha Tasmin Jaigirdar +3 more
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Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2022 In order to prevent the illegal export of paintings abroad, a museum examination using various methods for studying a work of art is carried out. At the same time, an analysis is also made of historical, art history, financial and other information and ...
Andrii Martynenko +3 more
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Geospatial Queries on Data Collection Using a Common Provenance Model
ISPRS International Journal of Geo-Information, 2021 Lineage information is the part of the metadata that describes “what”, “when”, “who”, “how”, and “where” geospatial data were generated. If it is well-presented and queryable, lineage becomes very useful information for inferring data quality, tracing ...
Guillem Closa +3 more
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IET Information SecurityHID (host intrusion detection) is a security mechanism for detecting malicious activities performed in a host (e.g., a server, an edge device). Recent research has recast HID as a provenance graph learning problem thanks to the advancement in deep ...
Mingqi Lv +4 more
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Network Analysis on Provenance Graphs from a Crowdsourcing Application [PDF]
, 2012 Crowdsourcing has become a popular means for quickly achieving various tasks in large quantities. CollabMap is an online mapping application in which we crowdsource the identification of evacuation routes in residential areas to be used for planning large-scale evacuations.
Mark Ebden +4 more
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