input: [0] 13:15 [1] Eric Prud'hommeaux [2] 
output: Overview of the linking open drug data task Abstract There is much interesting information about drugs that is available on the Web. Data sources range from medicinal chemistry results, to the impacts of drugs on gene expression, through to the results of drugs in clinical trials. Linking Open Drug Data (LODD) is a task within the W3C's Health Care Life Sciences Interest Group. LODD has surveyed publicly available data sets about drugs, created Linked Data representations of the data sets and interlinked them together, and identified interesting scientific and business questions that can be answered once the data sets are connected. The task also actively explores best practices for exposing data in a Linked Data representation The figure below shows part of the data sets that have been published and interlinked by the task so far. The LODD data sets are represented in dark gray, while light gray represents other Linked Data from the life sciences, and white indicates data sets from different domains. Collectively, the LODD data sets consist of over 8 million RDF triples, which are interlinked by more than 370,000 RDF links. This presentation will introduce the LODD task and show examples of recent. HTML