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Abstract
Web-page recommendation plays an important role in smart Web systems. It not only reduces the Web traffic, but also gives effective personalized Web-page recommendation for every user. Effective knowledge discovery from Web usage data and attaining exact knowledge representation are typical task. This paper proposes a novel method to provide better Web-page recommendation through semantic enhancement based on knowledge representation model using domain and Web usage knowledge. An ontology based model was proposed to represent the domain knowledge, which is a powerful way of knowledge representation using today in many Websites. Finally, Web usage data founded from Web log file was integrated with the domain knowledge representation model to provide effective Web-page recommendation.