RECOMMENDATION OF SEMANTIC NETWORK OF WEB PAGES USING ONTOLOGY BASED MODEL
Journal Title: Elysium Journal of Engineering Research and Management - Year 2015, Vol 2, Issue 3
Abstract
Web-page recommendation is one of the unleashing features in intelligent Web systems. It is a crucial task to recommend a web page without any satisfactory knowledge. The proposed semantic enhancement model integrates the domain and web usage knowledge for a website. There are three models are used to represent the domain knowledge such as ontology based model, generation model and Conceptual prediction model. First, the ontology based model represents the domain knowledge by using the ontology. Then, generation model in automatic generated network represents the domain terms like web pages and relation between them. Conceptual prediction model generates a semantic network contains domain knowledge and web usage knowledge. The queries developed to search the knowledge bases. A set of recommendation strategies generates web page candidates on the basis of queries. The comparison between the recommendation results and results from an advanced Web Usage Mining (WUM) method confirms that proposed method provides the higher performance higher performance than the WUM method.
Authors and Affiliations
Prasanna V, Kamala B.
Keywords
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