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BACKGROUND A fundamental goal of the U.S. National Institute of Health (NIH) "Roadmap" is to strengthen Translational Research, defined as the movement of discoveries in basic research to application at the clinical level. A significant barrier to translational research is the lack of uniformly structured data across related biomedical domains. The Semantic(More)
There is an abundance of information about drugs available on the Web. Data sources range from medicinal chemistry results, over the impact of drugs on gene expression, to the outcomes of drugs in clinical trials. These data are typically not connected together, which reduces the ease with which insights can be gained. Linking Open Drug Data (LODD) is a(More)
Performing sequence homology searches against DNA or protein sequence databases is an essential bioinformatics task. Past research efforts have been primarily concerned with the development of sensitive and fast sequence homology search algorithms outside of the relational database management system (RDBMS). Oracle Data Mining (ODM) BLAST enables BLAST to(More)
The objective of this thesis is to develop efficient text classification models to classify text documents. In usual text mining algorithms, a document is represented as a vector whose dimension is the number of distinct keywords in it, which can be very large. Consequently, traditional text classification can be computationally expensive. In this work,(More)
BACKGROUND Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for(More)
Overview Overview • • Overview of the Semantic Web Overview of the Semantic Web • • Semantic Web technologies Semantic Web technologies • • Semantic Web applications in biomedicine Semantic Web applications in biomedicine • • W3C Semantic Web W3C Semantic Web Health Care and Life Health Care and Life Sciences Interest Group Sciences Interest Group • •(More)
Ensuring drug safety is of paramount importance to the life sciences industry. It's critical that drugs are able not only to achieve the desired result but also to do so without harmful side effects. By identifying problems as early as possible in the drug discovery and development process, life sciences companies can avoid drug safety sagas, such as a(More)
Members of the W3C Health Care and Life Sciences Interest Group (HCLS IG) have published a variety of genomic and drug-related datasets as Resource Description Framework (RDF) triples. This experience has helped the interest group define a general data workflow for mapping health care and life science (HCLS) data to RDF and linking it with other Linked Data(More)