DocumentCode
2551274
Title
Discovering Entities Relationships on the Web
Author
Yu, Wei ; Chen, Junpeng ; Yu, Guoying
Author_Institution
HongKong Polytech. Univ., Hong Kong
fYear
2008
fDate
4-7 Aug. 2008
Firstpage
490
Lastpage
491
Abstract
Mining entities relationships on the Web is a crucial problem for many data analysis work. We propose a new method to discover the relationships between two entities on the Web and designed an entities relationships miner prototype ERM, where the relationships can be mined in different granularities and the related Web pages containing the connections between two entities are returned in ranked order. Our experimental results show that ERM provides an efficient yet effective way for the user to discover the entities relationships on the Web.
Keywords
Internet; data mining; ERM; Web pages; data analysis; mining entities; Clustering algorithms; Data analysis; Frequency; Joining processes; Prototypes; Search engines; Uniform resource locators; Web pages; Web search;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing, 2008 IEEE International Conference on
Conference_Location
Santa Clara, CA
Print_ISBN
978-0-7695-3279-0
Electronic_ISBN
978-0-7695-3279-0
Type
conf
DOI
10.1109/ICSC.2008.16
Filename
4597234
Link To Document