Capturing Evolving Patterns for Ontology-based Web Mining

Abstract

An ontology-based Web mining model tends to extract an ontology from user feedback and use it to search the right data from the Web to answer what users want. It is indubitable that we can obtain numerous discovered patterns using a Web mining model. However, some discovered patterns might include uncertainties when we extract them. Also user profiles are changeable. Therefore, the difficult issue is how to use and maintain the discovered patterns. This paper presents a theoretical framework for this issue, which consists of automatic ontology extraction, reasoning on the ontology and capturing evolving patterns. The experimental results show that all objectives we expect for the theoretical framework are achievable.