Results 11 to 20 of about 9,400 (149)

Automated provenance graphs for models@run.time [PDF]

open access: yesProceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2020
Software systems are increasingly making decisions autonomously by incorporating AI and machine learning capabilities. These systems are known as self-adaptive and autonomous systems (SAS). Some of these decisions can have a life-changing impact on the people involved and therefore, they need to be appropriately tracked and justified: the system should
Owen Reynolds   +2 more
openaire   +2 more sources

SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs

open access: yesIET Software, 2022
Internet of things (IoT) applications called SmartApps are event‐driven programs running on the SmartThings cloud. To understand the behaviour of SmartApps, users may have questions regarding which execution flows follow particular events or why specific
Byeong‐Mo Chang   +3 more
doaj   +1 more source

Local clustering in provenance graphs [PDF]

open access: yesProceedings of the 22nd ACM international conference on Information & Knowledge Management, 2013
Systems that capture and store data provenance, the record of how an object has arrived at its current state, accumulate historical metadata over time, forming a large graph. Local clustering in these graphs, in which we start with a seed vertex and grow a cluster around it, is of paramount importance because it supports critical provenance ...
Macko, Peter   +2 more
openaire   +2 more sources

Golden Trail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository

open access: yesInternational Journal of Digital Curation, 2012
Experimental science can be thought of as the exploration of a large research space, in search of a few valuable results. While it is this “Golden Data” that gets published, the history of the exploration is often as valuable to the scientists as some of
Paolo Missier   +7 more
doaj   +11 more sources

An empirical study on Resource Description Framework reification for trustworthiness in knowledge graphs [version 2; peer review: 2 approved]

open access: yesF1000Research, 2021
Knowledge graph (KG) publishes machine-readable representation of knowledge on the Web. Structured data in the knowledge graph is published using Resource Description Framework (RDF) where knowledge is represented as a triple (subject, predicate, object).
Sini Govindapillai   +2 more
doaj   +1 more source

Modelling Provenance Collection Points and Their Impact on Provenance Graphs [PDF]

open access: yes, 2016
As many domains employ ever more complex systems-of-systems, capturing provenance among component systems is increasingly important. Applications such as intrusion detection, load balancing, traffic routing, and insider threat detection all involve monitoring and analyzing the data provenance. Implicit in these applications is the assumption that "good"
David Gammack   +2 more
openaire   +1 more source

Method on Multi-granularity Data Provenance for Data Fusion [PDF]

open access: yesJisuanji kexue, 2022
As the amount of data increases,correlates and crosses between data,the value of data needs to be maximized through data fusion.However,due to the complexity of the data fusion process,to clearly explain the data fusion process,it is necessary to ...
YANG Fei-fei, SHEN Si-yu, SHEN De-rong, NIE Tie-zheng, KOU Yue
doaj   +1 more source

A PT-based approach to construct efficient provenance graph for threat alert investigation [PDF]

open access: yesITM Web of Conferences
The Provenance Graph, constructed based on audit logs, encapsulates a wealth of causal relationships. When existing threat detection software issues an Event of Alert (EOA), security analysts conduct threat alert investigations based on the provenance ...
Men Shiming, Wang Jian, Ye Mai
doaj   +1 more source

Linking Graph Entities with Multiplicity and Provenance [PDF]

open access: yesCoRR, 2019
Entity linking and resolution is a fundamental database problem with applications in data integration, data cleansing, information retrieval, knowledge fusion, and knowledge-base population. It is the task of accurately identifying multiple, differing, and possibly contradicting representations of the same real-world entity in data.
Jixue Liu   +4 more
openaire   +2 more sources

Interactive Graph Data Integration System With Spatial-Oriented Visualization and Feedback-Driven Provenance

open access: yesIEEE Access, 2019
This paper proposes new techniques in a visualization-enabled graph data quality assessment and alignment system leveraging feedback-driven provenance with goal of improving scalability, reducing execution time, and increasing relevance.
Kuldeep Reddy
doaj   +1 more source

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