Shawn Bowers

Abstract (2009)

Bertram Ludäscher, Shawn Bowers, Timothy Mcphillips, Norbert Podhorszki

We view scientific workflows as the domain scientist’s way to harness cyberinfrastructure for e-Science. Domain scientists are often interested in “end-to-end ” frameworks which include data...

Enhancing the GEON Cyberinfrastructure: Semantic Registration, Discovery, Mediation, and Workflows (2008)

Bertram Ludäscher, Shawn Bowers, Ilkay Altintas, Chaitan Baru

Tools are needed to allow domain scientists to effectively harness cyberinfrastructure. The most visibile such tools for the scientist are (i) portals, and (ii) workflow development and execution...

Superimposed Applications using SPARCE (2008)

Sudarshan Murthy, David Maier, Lois Delcambre, Shawn Bowers

People often impose new interpretations onto existing information. In the process, they work with information in two layers: a base layer, where the original information resides, and a superimposed...

The Open Provenance Model (v1.01) (2008)

Moreau (Editor), Luc, Plale, Beth, Miles, Simon, Goble, Carole, Missier, Paolo, Barga, Roger, ...

In this paper, we introduce the Open Provenance Model, a model for provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems,...

Models of Provenance: The RWS Approach (2008)

Bertram Ludäscher, Norbert Podhorszki, Ilkay Altintas, Shawn Bowers, Timothy Mcphillips

Scientific workflows often benefit from or even require advanced modeling constructs, e.g., nesting of subworkflows, cycles for executing loops, data-dependent routing, and pipelined execution. In...

Abstract (2008)

Sarah Cohen-boulakia, Anat Eyal, Bertram Ludäscher, Timothy Mcphillips, Shawn Bowers, Manish Kumar An, ...

The automated tracking and storage of provenance information promises to be a major advantage of scientific workflow systems. We discuss issues related to data and workflow provenance, and present...

Concurrency Computat.: Pract. Exper. 2000; 00:1–7 Prepared using cpeauth.cls [Version: 2002/09/19 v2.02] The First Provenance Challenge (2008)

Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, George Chin, ...

The first Provenance Challenge was a community activity aiming at understanding the expressiveness of provenance representations and capabilities of provenance systems. To this end, a Functional...

Provenance in Collection-Oriented Scientific (2008)

Shawn Bowers, Timothy M. Mcphillips, Bertram Ludäscher

We describe a provenance model tailored to scientific workflows based on the Collection-Oriented Modeling and Design paradigm. Our implementation within the Kepler scientific workflow system captures...

and (2008)

Lois Delcambre, David Maier, Shawn Bowers, Longxing Deng, Mathew Weaver, Paul Gorman, ...

It is a common human trait to gather bits of information in one place, and group, classify, and otherwise annotate them, such as on the back of an envelope or in the margins of a paper. Such...

Concurrency Computat.: Pract. Exper. 2000; 00:1–7 Prepared using cpeauth.cls [Version: 2002/09/19 v2.02] The First Provenance Challenge (2008)

Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven Callahan, ...

The first Provenance Challenge was set up in order to provide a forum for the community to understand the capabilities of different provenance systems and the expressiveness of their provenance...

being used by scientists to construct and execute com- (2008)

Shawn Bowers, Bertram Ludäscher

Data-centric scientific workflows are often modeled as dataflow process networks. The simplicity of the dataflow framework facilitates workflow design, analysis, and optimization. However, modeling...

Superimposed Applications using SPARCE (2008)

Sudarshan Murthy, David Maier, Lois Delcambre, Shawn Bowers

People often impose new interpretations onto existing information. In the process, they work with information in two layers: a base layer, where the original information resides, and a superimposed...

Managing Scientific Data: (2008)

From Data Integration, Bertram Ludäscher, Kai Lin, Shawn Bowers, Efrat Jaeger-frank

Scientists are confronted with significant datamanagement problems due to the large volume and high complexity of scientific data. In particular, the latter makes data integration a di#cult technical...

The Open Provenance Model (v1.01) (2008)

Luc Moreau (editor, Beth Plale, Simon Miles, Carole Goble, Paolo Missier, Roger Barga, ...

In this paper, we introduce the Open Provenance Model, a model for provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems,...

The Forest Portal: A Multidisciplinary Project (2007)

Marianne Koch, Lois Delcambre, Patricia Toccalino, Eric L, Fred Phillips, Tim Tolle, ...

This project partners the USDA Forest Service with researchers at several universities and federal agencies. The goal of the project is to improve the management of natural resources by providing...

Project Histories: Managing Data Provenance Across Collection-Oriented Scientific Workflow Runs (2007)

Shawn Bowers, Timothy Mcphillips, Martin Wu, Bertram Ludäscher

Abstract. While a number of scientific workflow systems support data provenance, they primarily focus on collecting and querying provenance for single workflow runs. Scientific research projects,...

A Model for User-Oriented Data Provenance in Pipelined Scientific Workflows (2006)

Bowers, Shawn, McPhillips, Timothy, Ludascher, Bertram, Cohen, Shirley, Davidson, Susan B.

Integrated provenance support promises to be a chief advantage of scientific workflow systems over script-based alternatives. While it is often recognized that information gathered during scientific...

A model for user-oriented data provenance in pipelined scientific workflows (2006)

Shawn Bowers, Timothy Mcphillips, Bertram Ludäscher, Shirley Cohen, Susan B. Davidson

Abstract. Integrated provenance support promises to be a chief advantage of scientific workflow systems over script-based alternatives. While it is often recognized that information gathered during...

A model for user-oriented data provenance in pipelined scientific workflows (2006)

Shawn Bowers, Timothy Mcphillips, Bertram Ludäscher, Shirley Cohen, Susan B. Davidson

Abstract. Integrated provenance support promises to be a chief advantage of scientific workflow systems over script-based alternatives. While it is often recognized that information gathered during...

Collection-Oriented Scientific Workflows for Integrating and Analyzing Biological Data (2006)

Timothy Mcphillips, Shawn Bowers, Bertram Ludäscher

Abstract. Steps in scientific workflows often generate collections of results, causing the data flowing through workflows to become increasingly nested. Because conventional workflow components (or...

A Calculus for Propagating Semantic Annotations through Scientific Workflow Queries (2006)

Shawn Bowers, Bertram Ludäscher

Abstract. Scientific workflows facilitate automation, reuse, and reproducibility of scientific data management and analysis tasks. Scientific workflows are often modeled as dataflow networks,...

Incorporating semantics in scientific workflow authoring (2005)

Chad Berkley, Shawn Bowers, Matthew B. Jones, Bertram Ludäscher, Mark Schildhauer, Jing Tao

Abstract. The tools used to analyze scientific data are often distinct from those used to archive, retrieve, and query data. A scientific workflow environment, however, allows one to seamlessly...

Creating and Providing Data Management Services for the Biological and Ecological Sciences: Science Environment for Ecological Knowledge (2005)

Samantha Romanello, James Beach, Shawn Bowers, Matthew Jones, Bertram Ludäscher, William Michener, ...

The Science Environment for Ecological Knowledge (SEEK) [1] is an information technology project designed to address the many challenges associated with data accessibility and integration of...

Actor-Oriented Design of Scientific Workflows (2005)

Shawn Bowers, Bertram Ludäscher

Scientific workflows are becoming increasingly important as a unifying mechanism for interlinking scientific data management, analysis, simulation, and visualization tasks. Scientific workflow...

Towards Automatic Generation of Semantic Types in Scientific Workflows (2005)

Shawn Bowers, Bertram Ludäscher

Scientific workflow systems are problem-solving environments that allow scientists to automate and reproduce data management and analysis tasks.

An ontology-driven framework for data transformation in scientific workflows (2004)

Shawn Bowers, Bertram Ludäscher

Abstract. Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research is focused on...

Putting Integrated Information in Context: Superimposing Conceptual Models with SPARCE (2004)

Sudarshan Murthy, David Maier, Lois Delcambre, Shawn Bowers

A person working with diverse information sources—with possibly different formats and information models—may recognize and wish to express conceptual structures that are not explicitly present in...

Data procurement for enabling scientific workflows: On exploring inter-ant parasitism (2004)

Shawn Bowers, David Thau, Rich Williams, Bertram Ludäscher

Similar to content on the web, scientific data is highly heterogeneous and can benefit from rich semantic descriptions. We are particularly interested in developing an infrastructure for expressing...

The Uni-Level Description: A Uniform Framework for Representing Information in Multiple Data Models (2003)

Shawn Bowers, Lois Delcambre

Abstract. One advantage of having several different representation schemes and data models is that users can select the right representation and associated tools for their particular need. However,...

L.: A generic representation for exploiting model-based information (2002)

Shawn Bowers, Lois Delcambre

There are a variety of ways to represent information and each representation scheme typically has associated tools to manipulate it. In this paper, we present a single, generic representation that...

Enriching Documents in an Information Portal using Superimposed Schematics (2002)

Shawn Bowers, Lois Delcambre, David Maier

Portals offer relevant information often with improved and customizable search. However, most portals concentrate on locating documents as opposed to enhancing their use. We present superimposed...

A generic approach for representing model-based superimposed information. Oregon Graduate Institute of Science and (2000)

Shawn Bowers

Superimposed information is used to supplement existing sources of information, while maintaining connections back to the original data. It can be used for organizing, highlighting, annotating,...

Applying adaptation spaces to support quality of service and survivability (2000)

Shawn Bowers, Crispin Cowan

Adaptation is a key technique in constructing survivable information systems. Allowing a system to continue running, albeit with reduced functionality or performance, in the face of reduced...

Incorporating Semantics in Scientific Workflow Authoring

Chad Berkley Shawn, Shawn Bowers, Matthew B. Jones, Bertram Ludäscher, Mark Schildhauer, Jing Tao

The tools used to analyze scientific data are often distinct from those used to archive, retrieve, and query data. A scientific workflow environment, however, allows one to seamlessly combine these...