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Computer Science

D-Index
38
Citations
6044
World Ranking
10247
National Ranking
4301

Overview

Shawn Bowers is affiliated with Gonzaga University in the United States. Their research primarily spans the fields of Computer Science, Social Sciences, and Decision Sciences, with a focus on several subfields including Artificial Intelligence, Education, Information Systems, Information Systems and Management, and Management Science and Operations Research.

Their main research topics include Semantic Web and Ontologies, Scientific Computing and Data Management, Multi-Agent Systems and Negotiation, Reflective Practices in Education, Evaluation of Teaching Practices, Higher Education Practices and Engagement, and Biomedical Text Mining and Ontologies.

Bowers has contributed to multiple publication venues, with frequent appearances in:

  • arXiv (Cornell University)
  • TechTrends
  • UNC Libraries
  • International Journal of Digital Curation

Recent papers authored or coauthored by Bowers include:

  • Reflective Design in Action: A Collaborative Autoethnography of Faculty Learning Design, 2021, TechTrends
  • Names are not good enough: Reasoning over taxonomic change in the Andropogon complex, 2024, UNC Libraries
  • Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation, 2024, arXiv (Cornell University)
  • Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation, 2024, International Journal of Digital Curation
  • Choices and their Provenance: Explaining Stable Solutions of Abstract Argumentation Frameworks, 2025, arXiv (Cornell University)

Bowers frequently collaborates with several researchers, with notable coauthors being Bertram Ludäscher, Yilin Xia, Lan Li, Yu Xia, and Evgeny Skvortsov. The strongest collaboration ties are with Bertram Ludäscher and Yilin Xia.

Best Publications

  • An ontology for describing and synthesizing ecological observation data

    Joshua S. Madin;Joshua S. Madin;Shawn Bowers;Mark Schildhauer;Sergey Krivov

  • The New Bioinformatics: Integrating Ecological Data from the Gene to the Biosphere

    Matthew B. Jones;Mark P. Schildhauer;O. J. Reichman;Shawn Bowers

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • Provenance in Scientific Workflow Systems

    Susan B. Davidson;Sarah Cohen Boulakia;Anat Eyal;Bertram Ludäscher

  • Scientific workflow design for mere mortals

    Timothy McPhillips;Shawn Bowers;Daniel Zinn;Bertram Ludäscher

  • Advancing ecological research with ontologies

    Joshua S. Madin;Joshua S. Madin;Shawn Bowers;Mark P. Schildhauer;Matthew B. Jones

  • An Ontology-Driven Framework for Data Transformation in Scientific Workflows

    Shawn Bowers;Bertram Ludäscher

  • Actor-oriented design of scientific workflows

    Shawn Bowers;Bertram Ludäscher

  • Scientific Workflows: Business as Usual?

    Bertram Ludäscher;Mathias Weske;Timothy Mcphillips;Shawn Bowers

  • Semantics in Support of Biodiversity Knowledge Discovery: An Introduction to the Biological Collections Ontology and Related Ontologies

    Ramona L. Walls;John Deck;Robert Guralnick;Steve Baskauf

  • A model for user-oriented data provenance in pipelined scientific workflows

    Shawn Bowers;Timothy McPhillips;Bertram Ludäscher;Shirley Cohen

  • Uni-level description of computer information and transformation of computer information between representation schemes

    Lois Delcambre;Shawn Bowers

  • Techniques for efficiently querying scientific workflow provenance graphs

    Manish Kumar Anand;Shawn Bowers;Bertram Ludäscher

  • Scientific Process Automation and Workflow Management

    Bertram Ludäscher;Ilkay Altintas;Shawn Bowers;Julian Cummings

  • Bundles in the Wild: Managing Information to Solve Problems and Maintain Situation Awareness

    Paul N. Gorman;Joan S. Ash;Mary Lavelle;Jason A. Lyman

  • Provenance in collection-oriented scientific workflows

    Shawn Bowers;Timothy M. McPhillips;Bertram Ludäscher

  • Efficient provenance storage over nested data collections

    Manish Kumar Anand;Shawn Bowers;Timothy McPhillips;Bertram Ludäscher

  • Enabling ScientificWorkflow Reuse through Structured Composition of Dataflow and Control-Flow

    S. Bowers;B. Ludascher;A.H.H. Ngu;T. Critchlow

  • Incorporating semantics in scientific workflow authoring

    Chad Berkley;Shawn Bowers;Matthew Jones;Bertram Ludäscher

  • Scientific Data Analysis.

    Chandrika Kamath;Nikil Wale;George Karypis;Gaurav Pandey

Frequent Co-Authors

Bertram Ludäscher
Bertram Ludäscher University of Illinois at Urbana-Champaign
Ilkay Altintas
Ilkay Altintas University of California, San Diego
Paolo Missier
Paolo Missier Newcastle University
David Maier
David Maier Portland State University
Carole Goble
Carole Goble University of Manchester
Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory
Juliana Freire
Juliana Freire New York University
Susan B. Davidson
Susan B. Davidson University of Pennsylvania
Beth Plale
Beth Plale Indiana University
Maria A. Gandolfo
Maria A. Gandolfo Cornell University

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