An ontology-based approach for representing the interaction process between user profile and its context for collaborative learning environments

This work is focused on defining user profiles based on ontologies.The research proposes the evolution operation that interacts with ontologies.This work defines an approach to represent the interaction process between user profiles and their context.The application of this work is oriented toward establishing adequate user profiles for recommender systems. Recent researches about the personalized content generation have focused their efforts on two main topics: the first topic is the user model definition, i.e. the dimensions to be taken into account to represent the user, and the second topic is about the techniques used by recommender systems to provide recommendations according to the user requirements, such as adaptive approaches for context-aware systems, collaborative learning, and recommender systems for mobile environments. In this work, an approach based on ontologies to represent the interaction process between user profile and its context for collaborative learning is presented. We also analyzed the role assignments, permissions, restrictions and the definition of rules that are applied to the user, particularly in the collaborative learning context where the subject is involved. A case study related to the context of a school as well as the defined roles by the occupations in the context of locations is proposed.

[1]  Akrivi Katifori,et al.  Creating an Ontology for the User Profile: Method and Applications , 2007, RCIS.

[2]  Yuh-Min Chen,et al.  Adapting domain ontology for personalized knowledge search and recommendation , 2013, Inf. Manag..

[3]  P. O'Brien,et al.  Modeling Intelligent Ontology Evolution Using Biological Evolutionary Processes , 2006, 2006 IEEE International Conference on Engineering of Intelligent Systems.

[4]  Guihai Chen,et al.  A method for the acquisition of ontology-based user profiles , 2013, Adv. Eng. Softw..

[5]  Renée J. Miller,et al.  Preserving mapping consistency under schema changes , 2004, The VLDB Journal.

[6]  Analía Amandi,et al.  Ontology-based user profile learning , 2011, Applied Intelligence.

[7]  Miltiadis D. Lytras,et al.  Personalized Learning Using Ontologies and Semantic Web Technologies , 2008, WSKS.

[8]  Pasquale Lops,et al.  Discovering User Profiles from Semantically Indexed Scientific Papers , 2006, WebMine.

[9]  Grigoris Antoniou,et al.  Ontology change: classification and survey , 2008, The Knowledge Engineering Review.

[10]  Miltiadis D. Lytras,et al.  A modelling approach to study learning processes with a focus on knowledge creation , 2008 .

[11]  Djallel Bouneffouf Towards User Profile Modelling in Recommender System , 2013, ArXiv.

[12]  Albrecht Schmidt,et al.  Advanced Interaction in Context , 1999, HUC.

[13]  Chris D. Nugent,et al.  Ontological User Profile Modeling for Context-Aware Application Personalization , 2012, UCAmI.

[14]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[15]  Miltiadis D. Lytras,et al.  Informal learning in work environments: training with the Social Web in the workplace , 2012, Behav. Inf. Technol..

[16]  Bamshad Mobasher,et al.  Contextual Recommendation , 2007, WebMine.

[17]  Elizabeth Papadopoulou,et al.  Dynamic context-aware personalisation in a pervasive environment , 2014, Pervasive Mob. Comput..

[18]  Jan-Willem Strijbos,et al.  Developing the role concept for computer-supported collaborative learning: An explorative synthesis , 2010, Comput. Hum. Behav..

[19]  Mária Bieliková,et al.  Creation, Population and Preprocessing of Experimental Data Sets for Evaluation of Applications for the Semantic Web , 2008, SOFSEM.

[20]  Gerhard Weikum,et al.  WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .

[21]  Dimitris Plexousakis,et al.  Ontology evolution without tears , 2013, J. Web Semant..

[22]  Geert-Jan Houben,et al.  Cross-system user modeling and personalization on the Social Web , 2013, User Modeling and User-Adapted Interaction.

[23]  Judy Kay,et al.  Challenges and Solutions of Ubiquitous User Modeling , 2012, Ubiquitous Display Environments.

[24]  Maria-Iuliana Dascalu,et al.  A Recommender Engine for Advanced Personalized Feedback in e-Learning Environments , 2012 .

[25]  Steffen Staab,et al.  International Handbooks on Information Systems , 2013 .

[26]  Jairo Francisco de Souza,et al.  Evolution in Ontology-Based User Modeling , 2011, Semantic Web Personalization and Context Awareness.

[27]  Christopher M. Hoadley,et al.  Roles, design, and the nature of CSCL , 2010, Comput. Hum. Behav..

[28]  Gabriella Pasi,et al.  Personal ontologies: Generation of user profiles based on the YAGO ontology , 2013, Inf. Process. Manag..