173,250 research outputs found
Implementation and Evaluation of a Protocol for Recording Process Documentation in the Presence of Failures
No full textThe provenance of a particular data item is the process that led to that piece of data. Previous work has enabled the creation of detailed representation of past executions for determining provenance, termed process documentation. However, current solutions to recording process documentation assume a failure free environment. Failures result in process documentation not being recorded, thereby causing the loss of evidence that a process occurred. We have designed F-PReP, a protocol to guarantee the recording of process documentation in the presence of failures. This paper discusses its implementation and evaluates its performance. The result reveals that it introduces acceptable overhead
Moreau J., Dupuis G., Georgel J., Eléments de sociologie politique.
No full textAquistapace J. N. Moreau J., Dupuis G., Georgel J., Eléments de sociologie politique.. In: Revue française de sociologie, 1968, 9-3. p. 432
Standardisation of Provenance Systems in Service Oriented Architectures --- White Paper
No full textThis White Paper presents provenance in computer systems as a mechanism by which business and e-science can undertake compliance validation and analysis of their past processes. We discuss an open approach that can bring benefits to application owners, IT providers, auditors and reviewers. In order to capitalise on such benefits, we make specific recommendations to move forward a standardisation activity in this domain
Moreau, E J, NX58019
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/406004Surname: MOREAU. Given Name(s) or Initials: E J. Military Service Number or Last Known Location: NX58019. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 19892.246910
Item: [2016.0049.38281] "Moreau, E J, NX58019
Home of J. P. Moreau
No full textMrs. J. P. Moreau and her daughter stand on the front porch of their house on second Street in Roslyn, Washington. Second Street runs from east to west through the entire town. Moreau\u27s house situated on a hill was on the west end of Roslyn.Postcard titled J.P. Moreau\u27s Residence on Second Street, Roslyn, Wash.https://digitalcommons.cwu.edu/ellensburg_history/1115/thumbnail.jp
The Foundations for Provenance on the Web
No full textProvenance, i.e., the origin or source of something, is becoming an important concern, since it offers the means to verify data products, to infer their quality, to analyse the processes that led to them, and to decide whether they can be trusted. For instance, provenance enables the reproducibility of scientific results; provenance is necessary to track attribution and credit in curated databases; and, it is essential for reasoners to make trust judgements about the information they use over the Semantic Web. As the Web allows information sharing, discovery, aggregation, filtering and flow in an unprecedented manner, it also becomes very difficult to identify, reliably, the original source that produced an information item on the Web. Since the emerging use of provenance in niche applications is undoubtedly demonstrating the benefits of provenance, we contend that provenance can and should reliably be tracked and exploited on the Web, and we survey the necessary foundations to achieve such a vision. Using multiple data sources, we have compiled the largest bibliographical database on provenance so far. This large corpus allows us to analyse emerging trends in the research community. Specifically, using the CiteSpace tool, we identify clusters of papers that constitute research fronts, from which we derive characteristics that we use to structure our foundational framework for provenance on the Web. We note that such an endeavour requires a multi-disciplinary approach, since it requires contributions from many computer science sub-disciplines, but also other non-technical fields given the human challenge that is anticipated. To develop our vision, it is necessary to provide a definition of provenance that applies to the Web context. Our conceptual definition of provenance is expressed in terms of processes, and is shown to generalise various definitions of provenance commonly encountered. Furthermore, by bringing realistic distributed systems assumptions, we refine our definition as a query over assertions made by processes. Given that the majority of work on provenance has been undertaken by the database, workflow and e-science communities, we review some of their work, contrasting approaches, and focusing on important topics we believe to be crucial for bringing provenance to the Web, such as abstraction, collections, storage, queries, workflow evolution, semantics and activities involving human interactions. However, provenance approaches developed in the context of databases and workflows essentially deal with closed systems. By that, we mean that workflow or database management systems are in full control of the data they manage, and track their provenance within their own scope, but not beyond. In the context of the Web, a broader approach is required by which chunks of provenance representation can be brought together to describe the provenance of information flowing across multiple systems. This is the specific purpose of the Open Provenance Vision, which is an approach that consists of controlled vocabulary, serialization formats and interfaces that allow the provenance of individual systems to be expressed, connected in a coherent fashion, and queried seamlessly. In this context, the Open Provenance Model is an emerging community-driven representation of provenance, which has been actively used by some twenty teams to exchange provenance information according to the Open Provenance Vision. Having identified an open approach and a model for provenance, we then look at techniques that have been proposed to expose provenance over the Web. We also study how Semantic Web technologies have been successfully exploited to express, query and reason over provenance. Symmetrically, we also identify how Semantic Web technologies such as RDF underpinning the Linked Data effort bring their own difficulties with respect to provenance. A powerful argument for provenance is that it can help make systems transparent, so that it becomes possible to determine whether a particular use of information is appropriate under a set of rules. Such capability helps make systems and information accountable. To offer accountability, provenance itself must be authentic, and rely on security approaches that we review. We then discuss systems where provenance is the basis of an auditing mechanism to check past processes against rules or regulations. In practice, not all users want to check and audit provenance, instead, they may rely on measures of quality or trust; hence, we review emerging provenance-based approaches to compute trust and quality of data
Provenance-based Auditing of Private Data Use
No full textAcross the world, organizations are required to comply with regulatory frameworks dictating how to manage personal information. Despite these, several cases of data leaks and exposition of private data to unauthorized recipients have been publicly and widely advertised. For authorities and system administrators to check compliance to regulations, auditing of private data processing becomes crucial in IT systems. Finding the origin of some data, determining how some data is being used, checking that the processing of some data is compatible with the purpose for which the data was captured are typical functionality that an auditing capability should support, but difficult to implement in a reusable manner. Such questions are so-called provenance questions, where provenance is defined as the process that led to some data being produced. The aim of this paper is to articulate how data provenance can be used as the underpinning approach of an auditing capability in IT systems. We present a case study based on requirements of the Data Protection Act and an application that audits the processing of private data, which we apply to an example manipulating private data in a university
G. Dupuis, J. Georgel et J. Moreau, Le Conseil constitutionnel
No full textG. Dupuis, J. Georgel et J. Moreau, Le Conseil constitutionnel. In: Revue internationale de droit comparé. Vol. 25 N°2, Avril-juin 1973. pp. 450-451
Data for: Heat diffusion in numerically shocked ordinary chondrites and its contribution to shock melting
No full textData compilation for the heat diffusion code and iSALE numerical models with:
- the heat diffusion code Heat_Diffusion/heat_diffusion.py
- a plotting tool, Heat_Diffusion/plot.py
- material parameters in folder Heat_Diffusion/materials
- configuration files for all models of this publication compiled in Heat_Diffusion/
- Read README.txt in Heat_Diffusion/ for more details on the structure of files, how to use the code...
- configuration files of the corresponding iSALE models in iSALE/ from which the results are used in the diffusion code
- Read README.txt in iSALE/ for more details on the structure of files, how to use the code...
-> This part of the publication is a reproduction of models and variants used in Moreau et al. (2018, 2019a)
with scripts reproduced from Moreau et al. (2019a
Moreau, S J (Samuel Joseph), NX67736
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/406005Surname: MOREAU. Given Name(s) or Initials: S J (SAMUEL JOSEPH). Military Service Number or Last Known Location: NX67736. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 19893.246911
Item: [2016.0049.38282] "Moreau, S J (Samuel Joseph), NX67736
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