International Provenance and Annotation Workshop 2010

Displaying 1 - 10 of 10

As more data (especially scientific data) is digitized and put on the
Web, the importance of tracking and sharing its provenance metadata
grows. Besides capturing the annotation properties of data, provenance

Web-based science analysis and processing tools allow users to access, analyze, and generate visualizations of data without requiring the user be an expert in data processing. These tools simplify science analysis for all science users by reducing the data processing overhead for the user.

This paper introduces POMELo, a simple, web-based PML (Proof Markup Language) editor. The objective of POMELo is to allow users to create, edit, validate and export provenance information in the form of PML documents.

Provenance has been demonstrated as an important component in web applications such as mashups, as a means of resolving user questions. However, such provenance may not be usable by all members of a given applications user base.

As the web content is increasingly generated in more diverse situations, provenance is becoming more and more critical. While a variety of approaches have been investigated for capturing and making use of provenance metadata, arguably no single best-practice approach has emerged.

The field of translational biomedical informatics seeks to integrate knowledge from basic science, directed research into diseases, and clinical insights into a form that can be used to discover effective treatments of diseases.

Linked data and Semantic Web technologies enable people to navigate across heterogeneous sources of data thus making it easier for them to explore and develop multiple perspectives for use in making decisions and solving problems.