Semantic Clickstream Mining
نویسندگان
چکیده
Nowadays Web users are drowned in all kind of available information. However, only a tiny part of it is usually relevant to their preferences. Web usage mining which extracts knowledge for usage and clickstream data has become the subject of exhaustive research, as its potential for Web-based personalized services, prediction of user near future intentions, adaptive Web sites, and customer profiling are recognized. Moreover, semantic web aims to enrich the WWW by machine processable information which supports the user in his tasks. Semantic clickstream mining which integrates semantic in Web usage mining processes aims to improve the quality of the Web usage mining systems. Given the primarily syntactical nature of data Web usage mining operates on, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web resources and navigation behavior are increasingly being used. In this paper, we discuss the interplay of the Semantic Web with Web usage mining and also we give an overview of where the two research areas meet today. Moreover a proposed framework to integrate semantic Web and Web usage mining discuss in the rest of the paper. .
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