DocumentCode
2653477
Title
Mining data records based on ontology evolution for deep web
Author
Zhang, Wen ; Chen, Kerui ; Zhang, Fan
Author_Institution
Coll. of Inf. Eng., Zhongzhou Univ., Zhengzhou, China
Volume
7
fYear
2010
fDate
16-18 April 2010
Abstract
Currently, the research for the extraction of information in deep web is pretty active. Although many researchers already adopted ontology in the data extraction, many problems still exist. This paper proposed an ontology evolution based method for mining in the data area. Not only will this method solve the problem when the website only consists of one record, but it also can identify he meaning of data that has no labels. With the evolution of ontology, the extraction of data records is being more accurate. Experiments indicate that this method could improve the accuracy and efficiency of data extraction.
Keywords
Internet; data mining; ontologies (artificial intelligence); data extraction; data record mining; deep Web; ontology evolution; Computer science; Data engineering; Data mining; Educational institutions; Educational technology; Entropy; Knowledge engineering; Ontologies; Random processes; Web pages; component; data records; deep web; maximum entropy model; ontology evolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485649
Filename
5485649
Link To Document