Title :
Bootstrapping Approach for Extracting Object Attribute Names from the Web
Author :
Yoshinori Hijikata;Shintaro Nomura;Fumitaka Nakane;Shogo Nishida
Author_Institution :
Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
Abstract :
For accessing information on the Web related to an object, such as a product, human, or place, its attribute names and attribute values need to be extracted and stored in a database. Many researchers have tried to extract attribute values automatically, whereas only a small number of researchers have attempted to extract attribute names. Thus, we propose a method for extracting attribute names automatically. Our method adopts a bootstrapping algorithm which is popular for extracting attribute values. We propose several techniques that allow the successful application of this algorithm to attribute name extraction.
Keywords :
"Web pages","Data mining","Dictionaries","Search problems","Noise measurement","Memory management","Search engines"
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015 IEEE / WIC / ACM International Conference on
DOI :
10.1109/WI-IAT.2015.60