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SIGMOD
2005
ACM
177views Database» more  SIGMOD 2005»
14 years 10 months ago
An approach for pipelining nested collections in scientific workflows
We describe an approach for pipelining nested data collections in scientific workflows. Our approach logically delimits arbitrarily nested collections of data tokens using special...
Timothy M. McPhillips, Shawn Bowers
SIGMOD
2005
ACM
141views Database» more  SIGMOD 2005»
14 years 10 months ago
Integrating databases and workflow systems
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...
SIGMOD
2005
ACM
107views Database» more  SIGMOD 2005»
14 years 10 months ago
A notation and system for expressing and executing cleanly typed workflows on messy scientific data
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...
SIGMOD
2005
ACM
109views Database» more  SIGMOD 2005»
14 years 10 months ago
Query-Sensitive Embeddings
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...
Vassilis Athitsos, Marios Hadjieleftheriou, George...
SIGMOD
2005
ACM
197views Database» more  SIGMOD 2005»
14 years 10 months ago
Schema and ontology matching with COMA++
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...