We describe an approach for pipelining nested data collections in scientific workflows. Our approach logically delimits arbitrarily nested collections of data tokens using special...
There has been an information explosion in fields of science such as high energy physics, astronomy, environmental sciences and biology. There is a critical need for automated sys...
Srinath Shankar, Ameet Kini, David J. DeWitt, Jeff...
The description, composition, and execution of even logically simple scientific workflows are often complicated by the need to deal with "messy" issues like heterogeneou...
Yong Zhao, James E. Dobson, Ian T. Foster, Luc Mor...
A common problem in many types of databases is retrieving the most similar matches to a query object. Finding those matches in a large database can be too slow to be practical, es...
We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA+...
David Aumueller, Hong Hai Do, Sabine Massmann, Erh...