A SURVEY ON ONTOLOGY BASED WEB PERSONALIZATION <s> Expert Knowledge: <s> It is well accepted that ontology is useful for personalized Web information gathering. However, it is challenging to use semantic relations of "kind-of", "part-of", and "related-to" and synthesize commonsense and expert knowledge in a single computational model. In this paper, a personalized ontology model is proposed attempting to answer this challenge. A two-dimensional (Exhaustivity and Specificity) method is also presented to quantitatively analyze these semantic relations in a single framework. The proposals are successfully evaluated by applying the model to a Web information gathering system. The model is a significant contribution to personalized ontology engineering and concept-based Web information gathering in Web Intelligence. <s> BIB001 </s> A SURVEY ON ONTOLOGY BASED WEB PERSONALIZATION <s> Expert Knowledge: <s> 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. <s> BIB002 </s> A SURVEY ON ONTOLOGY BASED WEB PERSONALIZATION <s> Expert Knowledge: <s> 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. <s> BIB003
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.