Citation matching

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• Citation matching
• Vu Tinh Ky

2
Citation duplicates

• Different representations may appear in
• Name of authors
• Title of the publication
• Year of publication
• Conference name
• Different representations maybe due to
• Typo errors
• Word misspelling
• Individual preferences on format of the citation
• Motivation of resolving citation duplicates
• Enhance the performance of information retrieval
• Accurate credit attributions to authors of
  publications
• Example of a citation duplicate
• Citation 1 Hang Cui, Min-Yen Kan and Tat-Seng
  Chua (2004) Unsupervised Learning of Soft
  Patterns for Generating Definitions from Online
  News. In Proceedings of the 13th International
  World Wide Web Conference (WWW2004), May 2004.New
  York, New York, USA.

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Approach

• Focus on citation de-duplicate on web pages
• Three-step clustering approach 1st two steps
  are course-grain clustering, the last step in the
  fine-grain de-duplication.
• Step 1. soft-cluster the sets of citations into
  blocks (all citations in one webpage is
  considered one set)
• Use co-author names as the clustering criteria
• All the authors who happen to co-author a
  publication is put into one block.
• Step 2. In each block, cluster the individual
  citations into sub-blocks
• Use the content of the webpage as the clustering
  criteria
• Compute similarity using cosine similarity
  between the text of the web pages.
• Step 3. Fine-grain de-duplicate within each
  sub-block
• Use the tuned string-edit distance as the
  ambiguous resolution criteria