Modelling the Provenance of Data in Autonomous Systems

Determining the provenance of data, i.e. the process that led to that data, is vital in many disciplines. For example, in science, the process that produced a given result must be demonstrably rigorous for the result to be deemed reliable. A provenance system supports applications in recording adequate documentation about process executions to answer queries regarding provenance, and provides functionality to perform those queries. Several provenance systems are being developed, but all focus on systems in which the components are textitreactive, for example Web Services that act on the basis of a request, job submission system, etc. This limitation means that questions regarding the motives of autonomous actors, or textitagents, in such systems remain unanswerable in the general case. Such questions include: who was ultimately responsible for a given effect, what was their reason for initiating the process and does the effect of a process match what was intended to occur by those initiating the process? In this paper, we address this limitation by integrating two solutions: a generic, re-usable framework for representing the provenance of data in service-oriented architectures and a model for describing the goal-oriented delegation and engagement of agents in multi-agent systems. Using these solutions, we present algorithms to answer common questions regarding responsibility and success of a process and evaluate the approach with a simulated healthcare example.

Extracting Causal Graphs from an Open Provenance Data Model

The open provenance architecture (OPA) approach to the challenge was distinct in several regards. In particular, it is based on an open, well-defined data model and architecture, allowing different components of the challenge workflow to independently record documentation, and for the workflow to be executed in any environment. Another noticeable feature is that we distinguish between the data recorded about what has occurred, emphprocess documentation, and the emphprovenance of a data item, which is all that caused the data item to be as it is and is obtained as the result of a query over process documentation. This distinction allows us to tailor the system to separately best address the requirements of recording and querying documentation. Other notable features include the explicit recording of causal relationships between both events and data items, an interaction-based world model, intensional definition of data items in queries rather than relying on explicit naming mechanisms, and emphstyling of documentation to support non-functional application requirements such as reducing storage costs or ensuring privacy of data. In this paper we describe how each of these features aid us in answering the challenge provenance queries.

The First Provenance Challenge

The first Provenance Challenge was set up in order to provide a forum for the community to understand the capabilities of different provenance systems and the expressiveness of their provenance representations. To this end, a Functional Magnetic Resonance Imaging workflow was defined, which participants had to either simulate or run in order to produce some provenance representation, from which a set of identified queries had to be implemented and executed. Sixteen teams responded to the challenge, and submitted their inputs. In this paper, we present the challenge workflow and queries, and summarise the participants contributions.

PrIMe: A Methodology for Developing Provenance-Aware Applications

Provenance refers to the past processes that brought about a given (version of an) object, item or entity. By knowing the provenance of data, users can often better understand, trust, reproduce, and validate it. A provenance-aware application has the functionality to answer questions regarding the provenance of the data it produces, by using documentation of past processes. PrIMe is a software engineering technique for adapting application designs to enable them to interact with a provenance middleware layer, thereby making them provenance-aware. In this article, we specify the steps involved in applying PrIMe, analyse its effectiveness, and illustrate its use with two case studies, in bioinformatics and medicine.

Educational Assessment of Maine's 11th Graders

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A SPATIAL COMPARISON OF SHORT AND LONG TERM MIGRATION TRENDS IN CHINA

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A Spatial Comparison of Short and Long Term Migration Trends in China

China’s floating population, those individuals who have migrated between counties or provinces for a period of longer than 6 months, account for 79 million individuals. If intracounty migration is also included, the number jumps to 145 million individuals or over 11% of the total population. This study examines the geographical differences in short and long term migration using ArcGIS to manipulate the spatial GIS data. The study shows that both short and long term migration (in absolute numbers) occurs more frequently near cities and in coastal regions. However, by normalizing the data by population size, the study eliminates the problems of population size on the size of the migrants. Using this normalized data, the study finds that western and northern counties have a large number of migrants present relative to the size of the population. Determining where this floating population migrates helps explain regional inequalities in employment opportunities.

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Tony Blair to Speak at Commencement Science Building Gets Go-Ahead Spike Lee Does the Colby Thing Historian Leonard Awarded Lincoln Prize Presidential Preview Show by Mike Daisey Creates Nationwide Controversy President Adams as Art Curator Chen Wins Peace Grant--Again Qin Awarded Watson Fellowship Roots in Slavery Tell Bigger Story TwitterFEED A (Real) Virtual Community Corrado Tapped as Expert on Super PACs

Demand- side resistance to creative destruction in schumpeterian growth theory

The Schumpelerian model of endogeno~s growlh is generalized with lhe introduction of stochastic resislance. by agenls other Ihan producers. to lhe innovations which drive growth. This causes a queue to be formcd of innovations, alrcady discovered, bUI waiting to be adopled~ A slationary stochastic equilibrium (SSE) is obtained when the queue is stable~ It is shown that in the SSE, such resistance will always reduce lhe average growth iate hut it may increa~e wclfare in certain silualions. In an example, Ihis is when innovatiuns are small anti monopoly power great. The cont1icl hetween this welfare motive for resistance and those of rent-seeking innovalors.may well explain why growth rates differ.

Circuito regional de performance BodeArte: encontros, coletividade e porítica na performance do Rio Grande do Norte

This dissertation aims to look into the structure of the event Circuito Regional de Performance BodeArte1 to think how it collaborate with its proposal providing theoretical points to relevant questions to the comprehension of Brazilian performance art in contemporaneity, since its conceptual format until its occurrence and practical limitations. From this proposition the dissertation is organized into three chapters guided for the following aspects: the resumption of the events encompassed on the occurrence of Circuit BodeArte as well as a tabulation of the data reunited in its history, the presentation of its conceptual choices, and the metaphors conducted by the use of the term performance and how they can lead us to the idea of a performance-as-BodeArte. The methodological structures moved for this organization are qualitative, and have been formed from printed materials, texts, festival programs, blog, videos, photos, interviews, lectures and forums, plus our own memory as a producer and performer of the event, looking through these set points of the epistemological organization contained on the proposal of the Circuito, expanding and discussing them. This way this research moves between the propositions of this event in its three editions, promoting discussions that dialogue with concepts such as the emergence of Steve Johnson (2004), the metaphors of thought proposed by Christine Greiner (2005), the idea of performance hacker of Maria Beatriz de Medeiros (AQUINO, et al., 2012), as well as other propositions presented by Jan Swidzinski (2005) and Eleonora Fabião (2012)

The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.