Machine Learning
Footprints: history-rich tools for information foraging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Automatic personalization based on Web usage mining
Communications of the ACM
Communications of the ACM
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Managing Semantic Content for the Web
IEEE Internet Computing
A Theoretical Framework and an Implementation Architecture for Self Adaptive Web Sites
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Towards design principles for effective context- and perspective-based web mining
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Dynamically generating context-relevant sub-webs
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
Ontology management and evolution for business intelligence
International Journal of Information Management: The Journal for Information Professionals
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The World Wide Web's constant growth and transformation offers great opportunities--and poses many challenges for exploitation. The Semantic Web has recently emerged as a possible answer to these challenges by proposing an approach in organizing and sharing the Web, but it doesn't explicitly consider user needs and requirements. Heraclitus is a framework for Semantic Web adaptation in which user needs and requirements are the driving force behind Web adaptation, using text and Web usage mining to support Web site ontology and topology evolution. The result is improved user interaction with the Semantic Web.