Conference Paper

BibPro: A Citation Parser Based on Sequence Alignment Techniques

Nat. Taiwan Univ., Taipei
DOI: 10.1109/WAINA.2008.125 Conference: 22nd International Conference on Advanced Information Networking and Applications, AINA 2008, Workshops Proceedings, GinoWan, Okinawa, Japan, March 25-28, 2008
Source: DBLP
ABSTRACT
The dramatic increase in the number of academic publications has led to a growing demand for efficient organization of the resources to meet researchers' specific needs. As a result, a number of network services have compiled databases from the public resources scattered over the Internet. Furthermore, because the publications utilize many different citation formats, the problem of accurately extracting metadata from a publication list has also attracted a great deal of attention in recent years. In this paper, we extend our previous work by using a gene sequence alignment tool to recognize and parse citation strings from publication lists into citation metadata. We also propose a new tool called BibPro. The main difference between BibPro and our previously proposed tool is that BibPro does not need any knowledge databases (e.g., an author name database) to generate a feature index for a citation string. Instead, BibPro only uses the order of punctuation marks in a citation string as its feature index to represent the string's citation format. Second, by using this feature index, BibPro employs the Basic Local Alignment Search Tool (BLAST) to match the feature's citation sequence with the most similar citation formats in the citation database. The Needleman-Wunsch algorithm is then used to determine the best citation format for extracting the desired citation metadata. By utilizing the alignment information, which is determined by the best template, BibPro can systematically extract the fields of author, title, journal, volume, number (issue), month, year, and page information from different citation formats with a high level of precision. The experiment results show that, in terms of precision and recall, BibPro outperforms other systems (e.g., INFOMAP and ParaCite). The results also show that BibPro scales very well.

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