Technology and data-intensive science in the beginning of the 21st century.

This article is a summary of the technology issues and challenges of data-intensive science and cloud computing as discussed in the Data-Intensive Science (DIS) workshop in Seattle, September 19-20, 2010.

Comparing two approaches for aligning representations of anatomy.

Objective: To analyze the comparison, through their results, of two distinct approaches applied to aligning two representations of anatomy.

Materials: Both approaches use a combination of lexical and structural techniques. In addition, the first approach takes advantage of domain knowledge, while the second approach treats alignment as a special case of schema matching.

Challenges in precisely aligning models of human anatomy using generic schema matching.

This paper describes how we used generic schema matching algorithms to align the Foundational Model of Anatomy (FMA) and the GALEN Common Reference Model (CRM), two large models of human anatomy. We summarize the generic schema matching algorithms we used to identify correspondences. We present sample results that highlight the similarities and differences between the FMA and the CRM.