The Research of Web Page Recommendation Model Based on FCA and Enterprise Ontology

Author

Huang, Da ; Li, Hong

Author_Institution

Sch. of Economic & Manage., Beihang Univ., Beijing

Volume

1

fYear

2008

fDate

19-20 Dec. 2008

Firstpage

232

Lastpage

236

Abstract

Web page recommendation model traces userspsila Web-surfing trails, extracts the useful information including keywords, Web page URLs and userspsila evaluations on Web pages, and automatically generates FCA (formal concept analysis) knowledge base and enterprise ontology knowledge base with WordNet. While users are surfing, the system reasons based on the above two knowledge bases, recommends those relative Web pages to users and enables enterprise knowledge sharing with social navigation and semantic expansion.

Keywords

Internet; inference mechanisms; information retrieval; knowledge based systems; ontologies (artificial intelligence); vocabulary; Web page recommendation model; Web surfing; WordNet; enterprise knowledge sharing; enterprise ontology knowledge base; formal concept analysis; information extraction; semantic expansion; social navigation; Computational intelligence; Computer industry; Conferences; Data mining; Industrial economics; Knowledge management; Lattices; Navigation; Ontologies; Web pages; FCA; enterprise ontology; recommendation system;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3490-9

Type

conf

DOI

10.1109/PACIIA.2008.157

Filename

4756558