A data model is a plan for building a database and is comparable to an architect's building plans. There are two major methodologies used to create a data model: the EntityRe...
Joanne M. Atlee, Robert B. France, Geri Georg, Ana...
Searching and extracting meaningful information out of highly heterogeneous datasets is a hot topic that received a lot of attention. However, the existing solutions are based on e...
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
— Web service models are increasingly being used in the Grid community as way to create distributed applications exposing data and/or applications through self describing interfa...
Kyle Chard, Wei Tan, Joshua Boverhof, Ravi K. Madd...
This paper presents a technique that helps automate the reverse engineering of device drivers. It takes a closed-source binary driver, automatically reverse engineers the driverâ€...