Ontology based web knowledge gathering using personalized concept model

Abstract

Nowadays the use of internet is increasing at a great speed. Eventually the data on the web is also increasing. Retrieval of useful information from such a big huge amount of data is a challenging issue. Many web information gathering systems are there which try to gather useful information from the bulks of data. The user profiles are created for this purpose which gives the user background knowledge description. The concept models are implicitly generated from the user background knowledge. The user background knowledge can be better discovered and represented if global and local analysis is integrated. An ontology is an important concept that can be used to represent the knowledge from the user profiles. This paper reviews few personalized models for web information gathering and compares them and a system based on personalization of web data using ontology is introduced. This personalized system will try to remove the limitations of already existing models for retrieval of web data.