A pruned and refined ontological-based framework for mining of web logs
Vaishali Singh, Murugan Ramasamy, Swapnil Maheshkumar Parikh · 2024
Locating pertinent information on the Internet has become increasingly difficult. The partially attributable factor for this phenomenon may be attributed to the vast amount of material accessible and the absence of organisation on several websites. Web use mining is a significant and rapidly advancing field within the realm of internet mining. The primary objective of web mining is to advance the methodologies and frameworks for identifying patterns inside the World Wide Web and the Internet, with the aim of enhancing the adaptability of performance systems. Ontology refers to a body of knowledge that is employed to describe and categorise content found on the World Wide Web. This study presents a novel framework for the generation of ontologies using online use mining techniques. Additionally, this encompasses the processes of data collecting, web mining, and ontology building. The ontology learning framework follows a systematic process that involves ontology construction, pruning, refining, and a final evaluation of the ontology.