2010/12/07 by María Pérez, Rafael Berlanga, Perez, Maria +4
Computer Science · Decision Sciences · Biochemistry, Genetics and Molecular Biology · #Service-Oriented Architecture and Web Services #Scientific Computing and Data Management #Biomedical Text Mining and Ontologies
paper · pdf · doi:10.48550/arxiv.1012.1667
Research in the Life Sciences depends on the integration of large,\ndistributed and heterogeneous data sources and web services. The discovery of\nwhich of these resources are the most appropriate to solve a given task is a\ncomplex research question, since there is a large amount of plausible\ncandidates and there is little, mostly unstructured, metadata to be able to\ndecide among them.We contribute a semi-automatic approach,based on semantic\ntechniques, to assist researchers in the discovery of the most appropriate web\nservices to full a set of given requirements.\n