Modeling ontology-driven personalization of Web contents

2005

User modeling is an integral part of any personalized information retrieval system. The user model should be adaptable in order to capture the change in information needs of the users. In this paper, we present an ontology based user modeling strategy in the context of personalized information access. We have adopted a hybrid approach by capitalizing on the features of static and dynamic user profiling strategies. Static user profile specifies the user's interest in a very focused manner and dynamic user profiling adds the feature of adaptability into it. The dynamic user profiling strategy make use of the data sources like usage log and mouse operations that are performed by the users during the browsing sessions. Experiments have performed to evaluate the proposed method for user profiling.

Lecture Notes in Computer Science, 2008

Adaptive hypermedia systems can alleviate information overload on the Web by personalising the delivery of resources to the user. These systems are however afflicted with difficulties in the acquisition of user data as well as the general lack of user control on and transparency of the systems' adaptive behavior. In this paper, we argue that the use of rules on top of ontologies can enable adaptive functionality that is both transparent and controllable for users. To this end, we sketch ODAS, a domain ontology for adaptive hypermedia systems, and a model for the specification of adaptation rules.

International Journal of Advanced Research in Computer Science, 2017

In recent days the amount of Information Available on the internet is huge when compared to past few decades. How to gather useful information from the web has become a challenging issue for users. Current web information gathering systems trying to satisfy user requirements by looking at their information needs. For this purpose, user profiles are created for user background knowledge description. User profiles represent the concept models possessed by users when gathering web information. A concept model is implicitly possessed by users and is generated from their background knowledge. While this concept model cannot be proven in laboratories, many web ontologists have observed it in user behaviour. When users read through a document, they can easily determine whether or not it is of their interest or relevance to them, a judgment that arises from their implicit concept models. If a user's concept model can be simulated, then a superior representation of user profiles can be built. To simulate user concept models, ontology's-a knowledge description and formalization model-are utilized in personalized web information gathering. Such ontology's are called ontological user profiles or personalized ontology's. To represent user profiles, many researchers have attempted to discover user background knowledge through global or local analysis.

Knowledge and Information Systems

With millions of pages available on web, it has become difficult to access relevant information. One possible approach to solve this problem is web personalization. Web personalization is defined as any action that customizes the information or services provided by a web site to an individual. When personalization is applied to the semantic web it offers many advantages when compared to the traditional web because semantic web integrates semantics with the unstructured data on web so that intelligent techniques can be applied to get more efficient results. We have presented various approaches that are used for personalization in semantic web in this paper. The core of semantic web is the ontologies which are defined as explicit formalization of a shared understanding of a conceptualization. We exploit the machine understandable feature of semantic web to device strategies that perform effective personalization such that the results returned to the user are more relevant to the goal set by him. In this paper we have presented the classification of personalization techniques used for semantic web.

Proceedings of the 6th …, 2004

The amounts of information residing on web sites make users' navigation a hard task. To address this problem, web sites provide recommendations to the end users, based on similar users' navigational patterns mined from past visits. In this paper we introduce a recommendation method, which integrates usage data recorded in web logs, and the conceptual relationships between web documents. In the proposed framework, the usage-oriented URI representation of web pages and users' behavior is augmented with content-based semantics expressed using domainontology terms. Since the number of multilingual web sites is constantly increasing, we also propose an automatic method for uniformly characterizing a web site's documents using a common vocabulary. Both methods are integrated in the semantic web personalization system SEWeP.

International Journal of Service Science, Management, Engineering, and Technology, 2015

Advent of technologies like semantic web, multi-agent systems, web mining has changed the internet as knowledge provider. Web personalization offers a solution to the information overload problem in current web by providing users a personalized experience, considering their interest, behavior, context and emotions. Semantic web technology is based on use of software agents, ontologies and reasoning to add meaning to web information. An important technology for achieving personalization is the use of independent intelligent software agents. This work reviews, web personalization in the light of semantic web and software agent technology. A comparative study of recent works in the domain of web personalization has been carried out for this purpose. This review highlights ample scope for application of intelligent agents in the web personalization domain for solving many existing issues like personalized content management, user profile learning, modeling and adaptive interactions with...

2008

Web browsing is a complex activity and in general, users are not guided during browsing. Our hypothesis is that by using Semantic Web technologies and personalization methods, browsing can be supported better. However, existing personalization mechanisms on the Web are obstructive; users need to log in to multiple websites and enter their personal information and preferences, and the profiles are different for each site. There is a need for generic user profiles, which can also support the user's browsing.

2004

Currently, adaptive systems are described with non-uniform methods, depending on the specific view on the system, the application, or other parameters. There is no common language for expressing adaptive functionality, hence these systems are difficult to compare and analyse, and lack of re-usability which in fact is the key-capability for successfull personalization functionality for the Semantic Web. In the deliverables on adaptive functionality we aim at developing a logical description of adaptive functionality. Work in month 1–6 has concentrated on identifing some personalization techniques that are appropriate candidates for personalization on the Semantic Web, to provide a collection of detailed descriptions of identified personalization functionality, and to outline demands for architectures, supporting techniques, and rule and reasoning languages for the Semantic Web. Keyword List personalization, adaptive hypermedia, recommendation systems, artificial immune systems, seman...

2006

ABSTRACT Learning is a cognitive activity that differs from student to student. Most of the eLearning systems do not take into account individual aspects of students, ignoring the different needs that are specific to existing cognitive profiles. In this paper, we present an approach to eLearning personalization based on an ontology. We developed a student model that is integrated with an ontology, enabling the personalization system to guide the student's learning process.

2003

This article presents an extension of the OO-H conceptual modelling approach to address the particulars associated with the design and specification of dynamic personalization. We describe how conventional navigation and presentation diagrams are influenced by personalization properties. The main benefit is that personalization specification can be modified without recompile the rest of the application modules.