Learning metadata from the evidence in an on-line citation matching scheme

Citation matching, or the automatic grouping of bibliographic references that refer to the same document, is a data management problem faced by automatic digital libraries for scientific literature such as CiteSeer and Google Scholar. Although several solutions have been offered for citation matching in large bibliographic databases, these solutions typically require expensive batch clustering operations that must be run offline. Large digital libraries containing citation information can reduce maintenance costs and provide new services through efficient online processing of citation data, resolving document citation relationships as new records become available. Additionally, information found in citations can be used to supplement document metadata, requiring the generation of a canonical citation record from merging variant citation subfields into a unified “best guess” from which to draw information. Citation information must be merged with other information sources in order ...

• Type: Conference
• Year: 2006
• Where: JCDL
• Authors: Isaac G. Councill, Huajing Li, Ziming Zhuang, Sandip Debnath, Levent Bolelli, Wang-Chien Lee, Anand Sivasubramaniam, C. Lee Giles
• Keywords: Citation Information, Citation Matching, Citation Record, JCDL 2006