Business Provenance – A Technology to Increase Traceability of End-to-End Operations

Curbera, Francisco; Doǧanata, Yurdaer N.; Martens, Axel; Mukhi, Nirmal; Slominski, Aleksander

doi:10.1007/978-3-540-88871-0_10

Cited by 65 publications

(33 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We note that the use of workflows in business differs substantially. Business workflows are less of an iterative development tool, but are used to implement business processes; in such a context, traceability and accountability are important concerns [108].…”

Section: Chapter 4 Provenance In Workflows and Databasesmentioning

confidence: 99%

“…Curbera et al [108] distinguish business provenance from business activity monitoring (BAM). The latter is mostly focused on real-time access to business performance indicators, including interactive and real-time dashboards and proactive alert generation, whereas the former adds a historical perspective to BAM that enables root cause analysis and process discovery.…”

Section: Accountabilitymentioning

confidence: 99%

See 1 more Smart Citation

The Foundations for Provenance on the Web

Moreau

2010

FNT in Web Science

168

View full text Add to dashboard Cite

Provenance, 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 voc...

show abstract

Section: Chapter 4 Provenance In Workflows and Databasesmentioning

confidence: 99%

Section: Accountabilitymentioning

confidence: 99%

The Foundations for Provenance on the Web

Moreau

2010

FNT in Web Science

168

View full text Add to dashboard Cite

show abstract

“…On the other hand, organizations depend on such data; not only for performance measurement, but also for auditing. We use the term business process provenance [10,11] to refer to the systematic collection of the information needed to reconstruct what has actually happened. The term signifies that for most organizations it is vital that "history cannot be rewritten or obscured".…”

Section: Learning From Event Logsmentioning

confidence: 99%

Beyond Process Mining: From the Past to Present and Future

Aalst

Pesic

Song

2010

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

View full text Add to dashboard Cite

Abstract. Computer simulation attempts to "mimic" real-life or hypothetical behavior on a computer to see how processes or systems can be improved and to predict their performance under different circumstances. Simulation has been successfully applied in many disciplines and is considered to be a relevant and highly applicable tool in Business Process Management (BPM). Unfortunately, in reality the use of simulation is limited. Few organizations actively use simulation. Even organizations that purchase simulation software (stand-alone or embedded in some BPM suite), typically fail to use it continuously over an extended period. This keynote paper highlights some of the problems causing the limited adoption of simulation. For example, simulation models tend to oversimplify the modeling of people working part-time on a process. Also simulation studies typically focus on the steady-state behavior of business processes while managers are more interested in short-term results (a "fast forward button" into the future) for operational decision making. This paper will point out innovative simulation approaches leveraging on recent breakthroughs in process mining.

show abstract

“…The provenance of data in such applications and the provenance of business processes as realized in Business Activity Monitoring (BAM) are important issues that have already been addressed by several research projects [5,20,27]. These approaches mainly focus on the provenance of data which is produced, transformed or routed through an SOA system.…”

Section: Introductionmentioning

confidence: 99%

Service Provenance in QoS-Aware Web Service Runtimes

Michlmayr

Rosenberg

Leitner

et al. 2009

2009 IEEE International Conference on Web Services

View full text Add to dashboard Cite

In general, provenance of electronic data represents an important issue in information systems. So far, Serviceoriented Computing research has mainly focused on provenance of data. However, service provenance also plays a central role since service providers and consumers want to be aware of the service's origin and history. In this paper, we present an approach for service provenance that builds on service metadata and various service runtime events. In addition, access control mechanisms are implemented to restrict access to this information. Besides being able to query and subscribe to provenance information, provenance graphs can be used to illustrate the history of services. We give some usage examples of service provenance and show how our approach was integrated into the VRESCo Web service runtime environment.

show abstract

Business Provenance – A Technology to Increase Traceability of End-to-End Operations

Cited by 65 publications

References 8 publications

The Foundations for Provenance on the Web

The Foundations for Provenance on the Web

Beyond Process Mining: From the Past to Present and Future

Service Provenance in QoS-Aware Web Service Runtimes

Contact Info

Product

Resources

About