The Semantic web envisioned by Tim Berners lee, provides for intelligent knowledge retrieval. Although in addition to knowledge retrieval there is also a need to make the knowledge so derived as trustworthy. This requires the incorporation of trust or provenance information in the semantic web. Provenance serves as a crucial factor in enhancing the trust ability of the semantic web. This paper ...

In general, provenance describes the origin and well-documented history of a given object. This notion has been applied in information systems, mainly to provide data provenance of scientific workflows. Similar to this, provenance in Service-oriented Computing has also focused on data provenance. However, the authors argue that in service-centric systems the origin and history of services is eq...

Selected semantic annotation on raw provenance data can help bridge the gap between low level provenance events (e.g., service invocations, data creation, message passing) and the high-level view that the user has of his/her investigation (e.g., data retrieval and analysis). In this initial investigation we added semantically annotated provenance to the Life Science Grid, a cyber-infrastructure...

Provenance theorists and practitioners assume that provenance is essential for trust in and reuse of data. However, little empirical research has been conducted to more closely examine this assumption. This qualitative study explores how provenance affects end-users’ trust in and reuse of data. Toward this end, the authors conducted semistructured interviews with 17 proteomics researchers who i...

Whole-system data provenance provides deep insight into the processing of data on a system, including detecting data integrity attacks. The downside to systems that collect whole-system data provenance is the sheer volume of data that is generated under many heavy workloads. In order to make provenance metadata useful, it must be stored somewhere where it can be queried. This problem becomes ev...

As users become confronted with a deluge of provenance data, dedicated techniques are required to make sense of this kind of information. We present Aggregation by Provenance Types, a provenance graph analysis that is capable of generating provenance graph summaries. It proceeds by converting provenance paths up to some length k to attributes, referred to as provenance types, and by grouping no...

One of the earliest investigations of provenance was inspired by applications in GIS in the early 1990’s. Provenance records the processing history of a data product. It provides an information context to help users determine the reliability of data products. Conventional provenance applications in GIS focus on provenance capture, representation, and usage in a stand-alone environment such as a...

Scientific workflow management systems (SWfMS) are powerful tools in the automation of scientific experiments. Several workflow executions are necessary to accomplish one scientific experiment. Data provenance, typically collected by SWfMS during workflow execution, is important to understand, reproduce and analyze scientific experiments. Provenance is about data derivation, thus it is typicall...

In the semantic Web, human and software agents can link data and combine them to create new data. In this context, the representation and management of data provenance is crucial. Data provenance helps determine the believability of data, which is an important aspect of data quality. This paper focuses on the representation of data provenance in the Web of linked data, and the use of provenance...

Workflow management systems are increasingly being used to automate scientific discovery. Provenance meta-data is collected about workflows, processes, simulations and data to add value. This meta-data and provenance information may have as much value as the raw data. Typically, sensitive information produced by a computational processes or experiments is well guarded. However, this may not nec...