Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Web Unit Based Mining of Homepage Relationships , Ee-Peng Lim2
 

Summary: Web Unit Based Mining of Homepage Relationships
Aixin Sun1
, Ee-Peng Lim2
1
School of Computer Science and Engineering, University of New South Wales, Sydney NSW 2052, Australia, Email:
aixinsun@cse.unsw.edu.au
2
School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Email:
aseplim@ntu.edu.sg
Abstract Homepages usually describe important se-
mantic information about conceptual or physical enti-
ties, and are hence the main targets for searching and
browsing. To facilitate semantic based information re-
trieval (IR) at a Web site, homepages can be identi-
fied and classified under some pre-defined concepts and
these concepts are then used in query or browsing cri-
teria, e.g., finding professor homepages containing "in-
formation retrieval". In some Web sites, relationships
may also exist among homepages. These relationship in-
stances (also known as homepage relationships) enrich

  

Source: Aixin, Sun - School of Computer Engineering, Nanyang Technological University

 

Collections: Computer Technologies and Information Sciences