Reference metadata extraction from scientific papers

Author

Zhixin Guo ; Hai Jin

Author_Institution

Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2011

fDate

20-22 Oct. 2011

Firstpage

45

Lastpage

49

Abstract

Bibliographical information of scientific papers is of great value since the Science Citation Index is introduced to measure research impact. Most scientific documents available on the web are unstructured or semi-structured, and the automatic reference metadata extraction process becomes an important task. This paper describes a framework for automatic reference metadata extraction from scientific papers. Our system can extract title, author, journal, volume, year, and page from scientific papers in PDF. We utilize a document metadata knowledge base to guide the reference metadata extraction process. The experiment results show that our system achieves a high accuracy.

Keywords

Internet; citation analysis; document handling; information retrieval; knowledge based systems; meta data; natural sciences computing; Bibliographical Information; Web; automatic reference metadata extraction process; document metadata knowledge base; science citation index; scientific documents; scientific papers; semistructured metadata extraction process; unstructured metadata extraction process; Accuracy; Data mining; Hidden Markov models; Knowledge based systems; Libraries; Portable document format; Semantics; metadata extraction; reference; rule-based approach;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2011 12th International Conference on

Conference_Location

Gwangju

Print_ISBN

978-1-4577-1807-6

Type

conf

DOI

10.1109/PDCAT.2011.72

Filename

6118965