This paper demonstrates ETLMR, a novel dimensional Extract– Transform–Load (ETL) programming framework that uses MapReduce to achieve scalability. ETLMR has built-in native support of data warehouse (DW) specific constructs such as star schemas, snowflake schemas, and slowly changing dimensions (SCDs). This makes it possible to build MapReduce-based dimensional ETL flows very easily. The ETL pr...

A body schema is an agent’s model of its own that enables it to act on affordances in the environment. This paper presents a system for Learning Intelligent Decision Agent (LIDA) cognitive architecture. LIDA conceptual and computational implementation Global Workspace Theory, also integrating other theories from neuroscience psychology. contends ‘body schema’ should be split into three separate...

Background: The numerous methods and techniques employed in proteomics investigations generate vast quantities of heterogeneous data, both results and provenance. A standard representation of proteomics data and techniques is urgently required in order to document a proteomics investigation. A standard representation will facilitate data exchange, verification and further analysis, and pr...

Background Introduction: When assessing myocardial perfusion image (MPI) data for diagnosis or prediction of prognosis it is common to evaluate the technology using a ReceiverOperator Characteristic (ROC) curve. The diagonal response represents the knowledge prior to conducting the test (i.e. the diagonal represents random chance). We present an approach termed Bio-Informatics Assessment Schema...

The International Materials Resource Registries (IMRR) working group of the Research Data Alliance (RDA) was created to spur initial development a federated registry system allow for easier discovery and access materials data. As part this effort, controlled vocabulary metadata schema were developed with contributions from members other experts. Here we describe process, resulting XML schema, l...

In this paper, we propose a novel algorithm to design multiclass kernels based on an iterative combination of weak kernels in a schema inspired from the boosting framework. Our solution has a complexity linear with the training set size. We evaluate our method for classification on a toy example by integrating our multi-class kernel into a kNN classifier and comparing our results with a referen...

truth conditions, image schemas have an experiential basis. As a consequence, they foster mental operations analogous to the actual physical operations on which they are based. Accordingly, they operate in congruence with their own unique experiential “logic.” Below are descriptions of several of the canonical image schemas defined by Johnson. Following Lakoff’s format in 2 , I include a descri...