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Building MCP-native hierarchical AI scientist ecosystems: a perspective on scaling multi-agent scientific discovery. [PDF]

Front Artif Intell
Yue L, Ko CY, Chen PY, Di S, Pan S.
europepmc   +1 more source

Author Response: Using Provenance Dispersion to Triage Uncertain Neurosymbolic OCT Diagnoses. [PDF]

Transl Vis Sci Technol
Miladinovic A, Biscontin A, Ajcevic M, Kresevic S, Accardo A, Tognetto D, Inferrera L.   +6 more
europepmc   +1 more source

Aligning innovation and security in AI-enabled biotechnology: a framework for designing and funding mutually reinforcing approaches. [PDF]

Front Microbiol
Aveggio C, Carter SR, Mukundan H, Cameron EBE, Guerra S.   +4 more
europepmc   +1 more source

Data Governance Lessons From an Unvalidated Dataset. [PDF]

J Med Internet Res
Dominy C.
europepmc   +1 more source

Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework. [PDF]

Front Artif Intell
Radanliev P, Santos O, Maple C, Atefi K.
europepmc   +1 more source

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Data Provenance in Security and Privacy

ACM Computing Surveys, 2023
Provenance information corresponds to essential metadata that describes the entities, users, and processes involved in the history and evolution of a data object. The benefits of tracking provenance information have been widely understood in a variety of domains; however, only recently have provenance solutions gained interest in the security community.
Bofeng Pan, Natalia Stakhanova, Suprio Ray   +2 more
exaly   +2 more sources

Provenance in Linked Data Integration. [PDF]

, 2010
The open world of the (Semantic) Web is a global information space offering diverse materials of disparate qualities, and the opportunity to re-use, aggregate, and integrate these materials in novel ways. The advent of Linked Data brings the potential to expose data on the Web, creating new challenges for data consumers who want to integrate these data.
Omitola, Temitope, Gibbins, Nicholas, Shadbolt, Nigel   +2 more
openaire   +2 more sources

Data Provenance

Foundations and Trends in Databases, 2021
Data provenance has evolved from a niche topic to a mainstream area of research in databases and other research communities. This article gives a comprehensive introduction to data provenance. The main focus is on provenance in the context of databases.
openaire   +1 more source

Data Provenance in Vehicle Data Chains

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021
With almost every new vehicle being connected, the importance of vehicle data is growing rapidly. Many mobility applications rely on the fusion of data coming from heterogeneous data sources, like vehicle and "smart-city" data or process data generated by systems out of their control.
Daniel Wilms, Carsten Stöcker, Juan Caballero   +2 more
openaire   +1 more source

Provenance-based data skipping

Proceedings of the VLDB Endowment, 2021
Database systems use static analysis to determine upfront which data is needed for answering a query and use indexes and other physical design techniques to speed-up access to that data. However, for important classes of queries, e.g., HAVING and top-k queries, it is impossible to determine up-front what data isrelevant.To overcome this limitation, we ...
Xing Niu 0002, Boris Glavic, Ziyu Liu, Pengyuan Li 0007, Dieter Gawlick, Vasudha Krishnaswamy, Zhen Hua Liu, Danica Porobic   +7 more
openaire   +1 more source