Workflow matching using semantic metadata

Yolanda Gil, Jihie Kim, Gonzalo Florez, Varun Ratnakar, Pedro A. González-Calero

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

Workflows are becoming an increasingly more common paradigm to manage scientific analyses. As workflow repositories start to emerge, workflow retrieval and discovery becomes a challenge. Studies have shown that scientists wish to discover workflows given properties of workflow data inputs, intermediate data products, and data results. However, workflows typically lack this information when contributed to a repository. Our work addresses this issue by augmenting workflow descriptions with constraints derived from properties about the workflow components used to process data as well as the data itself. An important feature of our approach is that it assumes that component and data properties are obtained from catalogs that are external to the workflow system, consistent with current architectures for computational science.

Original languageEnglish
Title of host publicationK-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture
Pages121-128
Number of pages8
DOIs
StatePublished - 2009
Event5th International Conference on Knowledge Capture, K-CAP'09 - Redondo Beach, CA, United States
Duration: 1 Sep 20094 Sep 2009

Publication series

NameK-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture

Conference

Conference5th International Conference on Knowledge Capture, K-CAP'09
Country/TerritoryUnited States
CityRedondo Beach, CA
Period1/09/094/09/09

Keywords

  • Scientific workflows
  • Semantic matchmaking
  • Semantic workflows
  • Workflow catalogs
  • Workflow discovery
  • Workflow matching
  • Workflow retrieval

Fingerprint

Dive into the research topics of 'Workflow matching using semantic metadata'. Together they form a unique fingerprint.

Cite this