DocumentCode
2792361
Title
Title extraction from Loosely Structured Data Records
Author
Wu, Yi-pu ; Zhang, Xue-Jie ; Li, Qing ; Chen, Jing
Author_Institution
Dept. of Comput. Sci. & Eng., Yunnan Univ., Kunming
Volume
5
fYear
2008
fDate
12-15 July 2008
Firstpage
2623
Lastpage
2628
Abstract
In this paper, we present a novel title extraction method from loosely structured data records (LSDRs). Firstly, we automatically identify the format of titles and then extract them accordingly. For the Web page whose title is occurred in all the data records, we obtain the one in the candidate titles which has the largest length of the dasiasame contentpsila as the accurate title. And for the Web page whose title is occurred before the first data record, the candidate title which has the largest length of the dasiadifferent contentpsila can be considered as the accurate title. Our experiment demonstrates that our automatic algorithm is robust and effective on two databases collected from the Internet.
Keywords
Internet; feature extraction; text analysis; Internet; Web page; loosely structured data record; title extraction; Computer science; Cybernetics; Data engineering; Data mining; Databases; HTML; Internet; Machine learning; Robustness; Web pages; Forum data; Loosely structured data records; Structured data records; Title extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620851
Filename
4620851
Link To Document