2005 AKnowlApproachToCitatExtract

• (Day et al., 2005) ⇒ Min-Yuh Day, Tzong-Han Tsai, Cheng-Lung Sung, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, and Wen-Lian Hsu. (2005). “A Knowledge-based Approach to Citation Extraction.” In: Proceedings of the Conference on Information Reuse and Integration (IRI 2005). doi:10.1109/IRI-05.2005.1506448

Subject Headings: Citation Extraction, INFOMAP, Knowledge-based, Ontology, Literature Mining.

Cited By

• ~25 http://scholar.google.com/scholar?cluster=14038032720619528509

Quotes

Abstract

Integration of the bibliographical information of scholarly publications available on the Internet is an important task in academic research. To accomplish this task, accurate reference metadata extraction for scholarly publications is essential for the integration of information from heterogeneous reference sources. In this paper, we propose a knowledge-based approach to literature mining and focus on reference metadata extraction methods for scholarly publications. We adopt an ontological knowledge representation framework called INFOMAP to automatically extract the reference metadata. The experimental results show that, by using INFOMAP, we can extract author, title, journal, volume, number (issue), year, and page information from different reference styles with a high degree of accuracy. The overall average field accuracy of citation extraction for a Bioinformatics dataset is 97.87% for six reference styles.

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2005 AKnowlApproachToCitatExtract	Shih-Hung Wu Wen-Lian Hsu Min-Yuh Day Tzong-Han Tsai Cheng-Lung Sung Cheng-Wei Lee Chorng-Shyong Ong			A Knowledge-based Approach to Citation Extraction		Proceedings of the Conference on Information Reuse and Integration	http://gra103.aca.ntu.edu.tw/gdoc/94/D90725010a.pdf	10.1109/IRI-05.2005.1506448		2005