Automated Keyword Extraction of Learning Materials Using Semantic Relations
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چکیده
2. BACKGROUND A team comprised of the Center for Natural Language Processing (CNLP) at Syracuse University and the Digital Learning Sciences (DLS) at the University Corporation for Atmospheric Research recently completed a project that integrated many digital library tools into one, which is called Metadata Assignment and Search Tool (MAST). 1 This tool enables libraries and museums to efficiently describe and disseminate their digital materials by 1) automatically generating metadata to assist the cataloger; 2) assisting in assigning educational standards to learning materials; and 3) customizing their workflows and collection management. Previous versions of these tools are deployed in the National Science Digital Library (NSDL) project to assist catalogers in adding materials to the online digital collection.
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