Chaitan Baru

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Scientists are confronted with significant data-management problems due to the large volume and high complexity of scientific data. In particular, the latter makes data integration a difficult technical challenge. In this paper, we describe our work on semantic mediation and scientific workflows, and discuss how these technologies address integration(More)
enabled geoscientific communities to process and download large LiDAR (Light Distance And Ranging), or ALSM (Airborne Laser Swath Mapping) datasets. The products-digital elevation models (DEMs)-are essential representations of the landscape that are imported to various off-the-shelf geoscientific tools. Initially, the GLW utilized the regularized spline(More)
The Geosciences Network (GEON) project is a large-scale collaborative effort aimed at creating cyberinfrastructure for the Earth Sciences. GEON focuses on consistent representation, query access, integration and analysis of multiple semantically-different distributed spatial datasets. The paper will demonstrate knowledge-based integration of heterogeneous(More)
[This is the second of a two-part article. The first part appeared in the March 2000 issue of D-Lib Magazine. Part 1 described persistence issues and provided a generic description of the scalable technology for managing media and context migration.] Abstract "Collection-Based Persistent Digital Archives: Part 2" describes the creation of a one million(More)
Geosciences Network (GEON) is a grand-challenge project to prototype cyberinfrastructure for the Earth Sciences. GEON is building a mechanism for integration and visualization of seismic events and their related fault orientations-referred by seismologists as focal mechanisms (or "beach balls") with other image (map) services using a service oriented(More)
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embedding cyberinfrastructure in the form of large scale observatories into the environment. This cyberinfrastruc-ture also extends into the lab, providing the scientist with tools to analyze and curate data at unprecedented spatio-temporal scales. To date, however, little work has focused on extending the cyberinfrastructure to the scientist while in the(More)
We provide a summary of the outcomes from the Workshop on Big Data Benchmarking (WBDB2012) held on May 8-9, 2012 in San Jose, CA. The workshop discussed a number of issues related to big data benchmarking definitions and benchmark processes, and was attended by 60 invitees representing 45 different organizations from industry and academia. Attendees were(More)