On disk caching of Web objects in proxy servers
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Automatic personalization based on Web usage mining
Communications of the ACM
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Using information scent to model user information needs and actions and the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modern Information Retrieval
Web Metrics: Proven Methods for Measuring Web Site Success
Web Metrics: Proven Methods for Measuring Web Site Success
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Websphere Version 5 Application Development Handbook
Websphere Version 5 Application Development Handbook
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Using SOFM to improve web site text content
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Semantic analysis of web site audience
Proceedings of the 2006 ACM symposium on Applied computing
A Benchmarking-Based Requirement Analysis Methodology for Improving Web Sites
International Journal of Electronic Commerce
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
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With the emergence of the World Wide Web, Web sites have become a key communication channel for organizations. In this context, analyzing and improving Web communication is essential to better satisfy the objectives of the target audience. Web communication analysis is traditionnally performed by Web analytics software, which produce long lists of audience metrics. These metrics contain little semantics and are too detailed to be exploited by organization managers and chief editors, who need summarized and conceptual information to take decisions. Our solution to obtain such conceptual metrics is to analyze the content of the Web pages output by the Web server. In this paper, we first present a list of methods that we conceived to mine the output Web pages. Then, we explain how term weights in these pages can be used as audience metrics, and how they can be aggregated using OLAP tools to obtain concept-based metrics. Finally, we present the concept-based metrics that we obtained with our prototype WASA and SQL Server OLAP tools.