You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: A SURVEY ON ONTOLOGY BASED WEB PERSONALIZATION 
Chapter Title:  Expert Knowledge: 
1. Abstract of Cited Paper (BIB001):  Personalized Web browsing and search hope to provide Web information that matches a user's personal interests. A key feature in developing successful personalized Web applications is to build user model that accurately represents a user's interests. This paper deals with the problem of modeling Web users by means of personal ontology. A Web log preparation system discovering user's semantic navigation sessions is presented first. Such semantic sessions could be used as the input of constructing ontology-based user model. Our construction of user model is based on a semantic representation of the user activity. We build the user model without user interaction, automatically monitoring the user's browsing habits, constructing the user ontology from semantic sessions. Each semantic session updates the user model in such a way that the conceptual behavior history of the user is recorded in user ontology. After building the initial model from visited Web pages, techniques are investigated to estimate model convergence. In particular, the overall performance of our ontology-based user model is also presented and favorably compared to other model using a flat, unstructured list of topics in the experimental systems. 
2. Abstract of Cited Paper (BIB002):  This paper brings together research from two different fields – user modelling and web ontologies – in attempt to demonstrate how recent semantic trends in web development can be combined with the modern technologies of user modelling. Over the last several years, a number of user-adaptive systems have been exploiting ontologies for the purposes of semantics representation, automatic knowledge acquisition, domain and user model visualisation and creation of interoperable and reusable architectural solutions. Before discussing these projects, we first overview the underlying user modelling and ontological technologies. As an example of the project employing ontology-based user modelling, we present an experiment design for translation of overlay student models for relative domains by means of ontology mapping.

Literature Review:
Expert knowledge is the kind of knowledge classified by the people who hold expertise in that domain. BIB001 . Ontologies are ever growing, constantly ontology repositories needs to be updated with the latest click stream data. Many ways in which ontology can be useful for user modeling have been discussed BIB002 . The approach is based on a semantic representation of the user activity, which takes into account both the structure of visited sites and the way the user navigates them. The most conventional implementation of ontology-based user modeling is the overlay user modeling that relies on a domain model represented as ontology. A simplified view on ontology is a network of concepts. BIB003 . Now days, Researchers identified the benefits of adapting of the Ontologies in user modeling.