Automatic generation of investigator bibliographies for institutional research networking systems
Abstracting and Indexing as Topic
Natural Language Processing
Pattern Recognition, Automated
ReCiter accesses the most current citation data, uses limited computational resources and minimizes manual entry by investigators. Generation of bibliographies using named-based queries will not yield high accuracy. Proprietary databases can perform well but requite manual effort. Automated generation with higher recall is possible but requires additional knowledge about investigators.