Towards Case-Based Support for e-Science Workflow Generation by Mining Provenance
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
The data playground: An intuitive workflow specification environment
Future Generation Computer Systems
From data to knowledge to discoveries: Artificial intelligence and scientific workflows
Scientific Programming
Semantic templates for case-based reasoning systems
The Knowledge Engineering Review
Agile elicitation of semantic goals by wiki
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
Searching repositories of web application models
ICWE'10 Proceedings of the 10th international conference on Web engineering
Graph-based matching of composite OWL-S services
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Optimizing bioinformatics workflows for data analysis using cloud management techniques
Proceedings of the 6th workshop on Workflows in support of large-scale science
Athena: text mining based discovery of scientific workflows in disperse repositories
RED'10 Proceedings of the Third international conference on Resource Discovery
(Re)Use in public scientific workflow repositories
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Detecting common scientific workflow fragments using templates and execution provenance
Proceedings of the seventh international conference on Knowledge capture
Managing and Optimizing Bioinformatics Workflows for Data Analysis in Clouds
Journal of Grid Computing
A graph distance based metric for data oriented workflow retrieval with variable time constraints
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
Much has been written on the promise of Web service discovery and (semi-) automated composition. In this discussion, the value to practitioners of discovering and reusing existing service compositions, captured in workflows, is mostly ignored. This paper presents one solution to workflow discovery. Through a survey with 21 scientists and developers from the myGrid workflow environment, workflow discovery requirements are elicited. Through a user experiment with 13 scientists, an attempt is made to build a gold standard for workflow ranking. Through the design and implementation of a workflow discovery tool, a mechanism for ranking workflow fragments is provided based on graph sub-isomorphism matching. The tool evaluation, drawing on a corpus of 89 public workflows from bioinformatics and the results of the user experiment, finds that the average human ranking can largely be reproduced.