TY - GEN
T1 - Learning to explore scientific workflow repositories
AU - Stoyanovich, Julia
AU - Dhillon, Paramveer
AU - Lyons, Brian
AU - Davidson, Susan B.
PY - 2013
Y1 - 2013
N2 - Scientific workflows are gaining popularity, and repositories of workflows are starting to emerge. In this paper we de- scribe TopicsExplorer, a data exploration approach for my- Experiment.org, a collaborative platform for the exchange of scientific workflows and experimental plans. Our approach uses a variant of topic modeling with tags as features, and generates a browsable view of the repository. TopicsExplorer has been fully integrated into the open-source platform of myExperiment.org, and is available to users at www.myexperiment. org/topics. We also present our recently developed personalization component that customizes topics based on user feedback. Finally, we discuss our on- going performance optimization efforts that make computing and managing personalized topic views of the myExperiment. org repository feasible.
AB - Scientific workflows are gaining popularity, and repositories of workflows are starting to emerge. In this paper we de- scribe TopicsExplorer, a data exploration approach for my- Experiment.org, a collaborative platform for the exchange of scientific workflows and experimental plans. Our approach uses a variant of topic modeling with tags as features, and generates a browsable view of the repository. TopicsExplorer has been fully integrated into the open-source platform of myExperiment.org, and is available to users at www.myexperiment. org/topics. We also present our recently developed personalization component that customizes topics based on user feedback. Finally, we discuss our on- going performance optimization efforts that make computing and managing personalized topic views of the myExperiment. org repository feasible.
KW - Data exploration
KW - Scientific workflows
KW - Topic mining
UR - http://www.scopus.com/inward/record.url?scp=84883036543&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883036543&partnerID=8YFLogxK
U2 - 10.1145/2484838.2484848
DO - 10.1145/2484838.2484848
M3 - Conference contribution
AN - SCOPUS:84883036543
SN - 9781450319218
T3 - ACM International Conference Proceeding Series
BT - SSDBM 2013 - Proceedings of the 25th International Conference on Scientific and Statistical Database Management
T2 - 25th International Conference on Scientific and Statistical Database Management, SSDBM 2013
Y2 - 29 July 2013 through 31 July 2013
ER -