Author(s)

P. Markellou, M. Rigou, S. Sirmakessis & A. Tsakalidis

Abstract

The problem of information overload when browsing and searching the web becomes more and more crucial as the web keeps growing exponentially and personalization features as the most popular remedy for it. The evolution of personalization as we experience it in recent years has been dramatically influenced by web mining, a research area developing around three main axes: web content, web usage and web structure mining. Lately most research efforts have moved towards combining techniques from more than one domain to achieve extreme personalization in large and complicated web structures. The introduction of the semantic web brings into the picture an enticing dimension: the ability to semantically link various resources (documents, images, people, concepts, etc). Without semantic knowledge about the specific application domain, the identification of underlying properties, attributes and interconnections has often turned out to be (if not impossible) a time and cost demanding task. This paper explores the potential introduced for personalization by combining web content, usage and structure mining with the semantic web infrastructure and investigates how old problems can now be resolved or alleviated. Moreover, fields foreseen to produce new scientific results are identified. Keywords: personalization, web content, structure and usage mining, semantic web, ontologies.

Keywords

personalization, web content, structure and usage mining, semantic web, ontologies.