We present a novel method for instance comparison of ontological concepts with regard to personalized content presentation and/or navigation in large information spaces. We assume that comparing properties of documents which users found interesting leads to discovery of information about users' interests specifically when considering Semantic Web… (More)
Learners have different knowledge, interests and also goals in any educational process. If all the learners are provided the same content the process will probably not meet expected goals. A personalized approach to a learner increases the efficiency of the learning process. It is based on information about the learner that is subject of change. Several… (More)
The increasing number of Semantic Web applications that work with ontologies implies an increased need for building ontological knowledge bases. In order to improve ontologies during their development as well as to allow applications to be experimentally evaluated prior to their complete implementation and deployment, ontology bases must be filled with… (More)
IVIany current web-based information systems need to adapt to individual user characteristics in order to streamline common tasks and enable users to use them efficiently. In this paper we describe an approach to user characteristics acquisition based on automatic analysis of user behavior thus minimizing the amount of necessary user involvement. We stress… (More)
In this paper we present a novel method of comparing instances of ontological concepts in regard to personalized presentation and/or navigation in large information spaces. It is based on the assumption that comparing attributes of documents which were found interesting for a user can be a source for discovering information about user's interests. We… (More)
Characteristics in the user model can be acquired and maintained in several ways, namely by means of implicit or explicit feedback, observation of user's actions, log analysis , etc. We use analysis of the content that is presented to a user. We assume that comparing documents and analyzing their common and different aspects can lead to information about… (More)
Anton Andrejko received his PhD in the field of Software engineering from Slovak University of Technology in Bratislava in February 2009. His thesis was supervised by Prof. Mária Bieliková. He has worked in the area of user modeling and personalization.