Semantic analysis of web site audience

摘要: With the emergence of World Wide Web, analyzing and improving Web communication has become essential to adapt content visitors' expectations. analysis is traditionally performed by analytics software, which produce long lists page-based audience metrics. These results suffer from page synonymy, polysemy, temporality, volatility. In addition, metrics contain little semantics are too detailed be exploited organization managers chief editors, who need summarized conceptual information take high-level decisions. To obtain such metrics, we mine pages output server. For a given taxonomy covering site knwoledge domain, compute term weights in aggregate them using OLAP tools, order concept-based representing topics. demonstrate how our approach solves cited problems, actually with SQL Server Analysis Service prototype WASA for number case studies. Finally, validate against popular tool.