adfa, p. 1, 2011. © Springer-Verlag Berlin Heidelberg 2011 Enhancing the Learner’s Performance Analysis using SMEUS Semantic E-learning System and Business Intelligence Technologies Fisnik Dalipi, Sule Yildirim Yayilgan, Zenun Kastrati Faculty of Computer Science and Media Technology Gjovik University College, Gjovik, Norway {fisnik.dalipi, sule.yayilgan, zenun.kastrati}@hig.no Abstract. Ontologies represent an efficient way of semantic web application on e-learning and offer great opportunity by bringing great advantages to e-learning systems. Nevertheless, despite the many advantages that we get from using on- tologies, in terms of structuring the data, there are still many unresolved problems related to the difficulties about getting proper information about a learner’s be- havior. Consequently, there is a need of developing tools that enable analysis of the learner’s interaction with the e-learning environment. In this paper, we pro- pose a framework for the application of Business Intelligence (BI) and OLAP technologies in SMEUS e-learning environment. Hence, on one hand, the pro- posed framework will enable and support the decision-making by answering some questions related to learner’s performance, and on the other hand, will pre- sent a case study model for implementing these technologies into a semantic e- learning environment. Keywords: e-learning, SMEUS, ontology, OLAP, data analysis. 1 Introduction E-learning platforms are widely used by higher education and other research-ori- ented institutions to enhance the efficiency of institutional services related to teaching and learning, and to improve quality of teaching. Nowadays, many of the e-learning systems available on market lack in specific functionalities for the creation and delivery of dynamic, modular learning paths that match the knowledge needs in a contextualized (according to learner’s current activities) and individualized (according to learner’s ex- periences, competences profiles, learning history and personal preferences) way [1]. Ontologies represent an immense opportunity by bringing great advantages to e- learning systems. Their implementation is seen as a better solution for organizing and visualizing didactic knowledge, and for this knowledge to be shared and reused by dif- ferent educational applications. The usage of ontology represents an efficient way of semantic web application on e-learning [2]. This is reflected on the realization of on- tology-based description for the learning materials or the knowledge base. Addition- ally, semantic notations are added for each learning object. In terms of organizational