Eagle-i: Ontology-driven Federated Search and Data Entry Tools for Discovering Biomedical Research Resources

نویسندگان

  • Melissa Haendel
  • Carlo Torniai
  • Nicole Vasilevsky
  • Scott Hoffmann
  • Daniela Bourges-Waldegg
چکیده

In this paper we present the eagle-­‐i system architecture, which was designed for data entry and storage of semantically enabled and ontol-­‐ ogy-­‐driven data about biomedical research resources. We describe the content, the features and some of the applications currently leveraging eagle-­‐i datasets.

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تاریخ انتشار 2013