Background: Large-scale genetic mapping projects require data management systems that can handle complex phenotypes and detect and correct high-throughput genotyping errors, yet a...
Simon Fiddy, David Cattermole, Dong Xie, Xiao Yuan...
Scenarios have proven effective for eliciting, describing and validating software requirements; however, scenario management continues to be a significant challenge to practition...
Data management is becoming increasingly social. We observe a new form of information in such collaborative scenarios, where users contribute and reuse information, which resides ...
Abstract— This paper presents LIVE, a complete DBMS designed for applications with many stored derived relations, and with a need for simple versioning capabilities when base dat...
For many businesses and organizations, the achievement of interoperability has proven to be a highly desirable goal. However, without efficient schema mapping mechanisms or models ...