A novel replica of fuzzy ontology for web information gathering

Information retrieval (IR) has become an active area of research in recent years to handle with the dynamic environment by establishing intelligent systems which can offer effective web content in real time to various wired or wireless devices. Evolutionary and adaptive systems (EASs) have been widely used. Web information gathering has been widely investigated and a number of approaches have been proposed to carry out web information gathering in an effluent way. In such systems ontology has been expected to have a bright future. In order to represent user profiles in personalized web information gathering several ontology models are widely used. These models are used for representing and reasoning over user profiles. To further improve the overall performance of the ontology based information retrieval system, fuzzy ontology model has been presented. This fuzzy based ontology model learns user profiles from both world knowledge base and user local instance warehouse. This ontology model is evaluated by comparing its performance against benchmark models in web information gathering.