Title :
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
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;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.157
