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Displaying 1-15 out of 15 total
A Provenance-Aware Weighted Fault Tolerance Scheme for Service-Based Applications
Found in: Object-Oriented Real-Time Distributed Computing, IEEE International Symposium on
By Paul Townend, Paul Groth, Jie Xu
Issue Date:May 2005
pp. 258-266
Service-orientation has been proposed as a way of facilitating the development and integration of increasingly complex and heterogeneous system components. However, there are many new challenges to the dependability community in this new paradigm, such as ...
 
Transparency and Reliability in the Data Supply Chain
Found in: IEEE Internet Computing
By Paul Groth
Issue Date:March 2013
pp. 69-71
Linked data is enabling the creation of large-scale distributed data supply chains. However, it's often unclear where the information these supply chains produce originates. Unlike coffee, we don't have a fair trade certificate for data. Here, the author o...
 
The Knowledge-Remixing Bottleneck
Found in: IEEE Intelligent Systems
By Paul Groth
Issue Date:September 2013
pp. 44-48
The Web has enabled us to construct massive knowledge bases that enable both intelligent applications and complex analyses. The construction of these knowledge bases invariably involves combining multiple sources using a stack of human and automated decisi...
 
TripleCloud: An Infrastructure for Exploratory Querying over Web-Scale RDF Data
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Christophe Guéret,Spyros Kotoulas,Paul Groth
Issue Date:August 2011
pp. 245-248
As the availability of large scale RDF data sets has grown, there has been a corresponding growth in researchers' and practitioners' interest in analyzing and investigating these data sets. However, given their size and messiness, there is significant over...
 
Wings: Intelligent Workflow-Based Design of Computational Experiments
Found in: IEEE Intelligent Systems
By Yolanda Gil,Varun Ratnakar, Jihie Kim,Joshua Moody,Ewa Deelman,Pedro Antonio Gonzalez-Calero,Paul Groth
Issue Date:January 2011
pp. 62-72
Describes the Wings intelligent workflow system that assists scientists with designing computational experiments by automatically tracking constraints and ruling out invalid designs, letting scientists focus on their experiments and goals.
 
Expressive Reusable Workflow Templates
Found in: e-Science and Grid Computing, International Conference on
By Yolanda Gil, Paul Groth, Varun Ratnakar, Christian Fritz
Issue Date:December 2009
pp. 344-351
Workflow systems can manage complex scientific applications with distributed data processing. Although some workflow systems can represent collections of data with very compact abstractions and manage their execution efficiently, there are no approaches to...
 
Analyzing the Gap between Workflows and their Natural Language Descriptions
Found in: Services, IEEE Congress on
By Paul Groth, Yolanda Gil
Issue Date:July 2009
pp. 299-305
Scientists increasingly use workflows to represent and share their computational experiments. Because of their declarative nature, focus on pre-existing component composition and the availability of visual editors, workflows provide a valuable start for cr...
 
Recording Process Documentation for Provenance
Found in: IEEE Transactions on Parallel and Distributed Systems
By Paul Groth, Luc Moreau
Issue Date:September 2009
pp. 1246-1259
Scientific and business communities are adopting large-scale distributed systems as a means to solve a wide range of resource-intensive tasks. These communities also have requirements in terms of provenance. We define the provenance of a result produced by...
 
Provenance: The Bridge Between Experiments and Data
Found in: Computing in Science and Engineering
By Simon Miles, Paul Groth, Ewa Deelman, Karan Vahi, Gaurang Mehta, Luc Moreau
Issue Date:May 2008
pp. 38-46
Current scientific applications are often structured as workflows and rely on workflow systems to compile abstract experiment designs into enactable workflows that utilize the best available resources. The automation of this step, and of the workflow enact...
 
Connecting Scientific Data to Scientific Experiments with Provenance
Found in: e-Science and Grid Computing, International Conference on
By Simon Miles, Ewa Deelman, Paul Groth, Karan Vahi, Gaurang Mehta, Luc Moreau
Issue Date:December 2007
pp. 179-186
As scientific workflows and the data they operate on, grow in size and complexity, the task of defining how those workflows should execute (which resources to use, where the resources must be in readiness for processing etc.) becomes proportionally more di...
 
Spinning data: remixing live data like a music dj
Found in: CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13)
By David A. Shamma, Paul Groth
Issue Date:April 2013
pp. 3063-3066
This demonstration investigates data visualization as a performance through the use of disc jockey (DJs) mixing boards. We assert that the tools DJs use in-situ can deeply inform the creation of data mixing interfaces and performances. We present a prototy...
     
Capturing Common Knowledge about Tasks: Intelligent Assistance for To-Do Lists
Found in: ACM Transactions on Interactive Intelligent Systems (TiiS)
By Denny Vrandecic, Paul Groth, Timothy Chklovski, Varun Ratnakar, Yolanda Gil
Issue Date:September 2012
pp. 1-35
Although to-do lists are a ubiquitous form of personal task management, there has been no work on intelligent assistance to automate, elaborate, or coordinate a user’s to-dos. Our research focuses on three aspects of intelligent assistance for to-dos...
     
LinkedDataLens: linked data as a network of networks
Found in: Proceedings of the sixth international conference on Knowledge capture (K-CAP '11)
By Paul Groth, Yolanda Gil
Issue Date:June 2011
pp. 191-192
With billions of assertions and counting, the Web of Data represents the largest multi-contributor interlinked knowledge base that ever existed. We present a novel framework for analyzing and using the Web of Data based on extracting and analyzing thematic...
     
Pipeline-centric provenance model
Found in: Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science (WORKS '09)
By Bruce Berriman, Ewa Deelman, Gaurang Mehta, Gideon Juve, Paul Groth
Issue Date:November 2009
pp. 1-8
In this paper we propose a new provenance model which is tailored to a class of workflow-based applications. We motivate the approach with use cases from the astronomy community. We generalize the class of applications the approach is relevant to and propo...
     
A model of process documentation to determine provenance in mash-ups
Found in: ACM Transactions on Internet Technology (TOIT)
By Luc Moreau, Paul Groth, Simon Miles
Issue Date:February 2009
pp. 1-31
Through technologies such as RSS (Really Simple Syndication), Web Services, and AJAX (Asynchronous JavaScript and XML), the Internet has facilitated the emergence of applications that are composed from a variety of services and data sources. Through tools ...
     
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