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The development of new therapies for diseases requires the integration of large amounts of biomedical data from many different sources. The goal of the Linking Open Drug Data (LODD) 1 project is to facilitate this integration by bringing these data sources onto the Web of Linked Data. We describe the different datasets published by this project, which are(More)
Current Semantic Web reasoning systems do not scale to the requirements of their hottest applications, such as analyzing data from millions of mobile devices, dealing with terabytes of scientific data, and content management in enterprises with thousands of knowledge workers. In this paper, we present our plan of building the Large Knowledge Collider, a(More)
Advances in the biological sciences are allowing pharmaceutical companies to meet the health care crisis with drugs that are more suitable for preventive and tailored treatment, thereby holding the promise of enabling more cost effective care with greater efficacy and reduced side effects. However, this shift in business model increases the need for(More)
This paper presents early findings of a study on how users appropriate a computerised mobile system designed to administer service orders. The theoretical lens used was Adaptive Structuration Theory (AST) and focused on Structural Features, Spirit and Appropriation of Structure. In order to accomplish the purpose, two aspects were to be considered: the(More)
We propose an approach for searching large RDF graphs, using advanced vector space models, and in particular, Random Indexing (RI). We first generate documents from an RDF Graph, and then index them using RI in order to generate a semantic index, which is then used to find similarities between graph nodes. We have experimented with large RDF graphs in the(More)