2007 07 29

DITA and ALG at NCSA have joined forces with the DISCUS team to enter the 2007 VAST contest. You can find a podcast of the entry to the contest here, and a description of the VAST contest below.

Visual Analytics is the science of analytical reasoning supported by highly interactive visual interfaces. People use visual analytics tools and techniques to synthesize information into knowledge; derive insight from massive, dynamic, and often conflicting data; detect the expected and discover the unexpected; provide timely, defensible, and understandable assessments; and communicate assessments effectively for action. The issues stimulating this body of research provide a grand challenge in science: turning information overload into the opportunity of the decade.

Visual analytics requires interdisciplinary science, going beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more. Your submission should help develop and/or apply the science of Visual Analytics, clearly showing an interdisciplinary approach.

2007 07 20

Bernie just put together this beauty to load small RDF/XML files into Virtuoso’s metadata store (We are using testing the open source version).

DB.DBA.RDF_LOAD_RDFXML(http_get ('URI to the RDF/XML file'),'','Name of the graph in the store');


We have tested loading a 5Million triple RDF/XML and results are pretty nice (It took around 6 minutes to load into a dual Pentium 4 extreme edition at 3GHz with 4GB of RAM on a slow 7500rpm ext3fs). When pushing to larger files, the stream version of this is a must to reduce memory consumption.