Results 11 to 20 of about 9,400 (149)
Automated provenance graphs for models@run.time [PDF]
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
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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
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Local clustering in provenance graphs [PDF]
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
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Golden Trail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository
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
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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
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Modelling Provenance Collection Points and Their Impact on Provenance Graphs [PDF]
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
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Method on Multi-granularity Data Provenance for Data Fusion [PDF]
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
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A PT-based approach to construct efficient provenance graph for threat alert investigation [PDF]
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
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Linking Graph Entities with Multiplicity and Provenance [PDF]
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
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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
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