scholarly journals CRCTOL: A semantic-based domain ontology learning system

2009 ◽  
Vol 61 (1) ◽  
pp. 150-168 ◽  
Author(s):  
Xing Jiang ◽  
Ah-Hwee Tan
Keyword(s):  
Domain Ontology ◽  
Learning System ◽  
Ontology Learning

scholarly journals Exploiting Transitivity in Probabilistic Models for Ontology Learning

2012 ◽  
pp. 259-293 ◽  
Author(s):  
Francesca Fallucchi ◽  
Fabio Massimo Zanzotto
Keyword(s):  
User Interface ◽  
Human Computer Interaction ◽  
Structural Properties ◽  
Graphical User Interface ◽  
Probabilistic Models ◽  
Learning System ◽  
Ontology Learning ◽  
Specific Domain ◽  
New Information ◽  
Computer Interaction

The authors propose probabilistic models for learning ontologies that expand existing ontologies taking into account both corpus-extracted evidence and the structure of the generated ontologies. The model exploits structural properties of target relations such as transitivity during learning. They then propose two extensions of the probabilistic models: a model for learning from a generic domain that can be exploited to extract new information in a specific domain and an incremental ontology learning system that puts human validations in the learning loop. This latter provides a graphical user interface and a human-computer interaction workflow supporting the incremental leaning loop.

scholarly journals Domain Ontology of the VirDenT System

2011 ◽  
Vol 6 (1) ◽  
pp. 45 ◽  
Author(s):  
Crenguţa Mădălina Bogdan
Keyword(s):  
Information System ◽  
Domain Ontology ◽  
Educational Process ◽  
Learning System ◽  
Therapeutic Interventions ◽  
Fixed Prosthodontics ◽  
All Ceramic ◽  
E Learning ◽  
Main Component ◽  
Ceramic Restorations

The goal of using virtual and augmented reality technologies in therapeutic interventions simulation, in the fixed prosthodontics (VirDenT) project, is to increase the quality of the educational process in dental faculties, by assisting students in learning how to prepare teeth for all-ceramic restorations. Its main component is an e-learning virtual reality-based software system that will be used for the developing skills in grinding teeth, needed in all-ceramic restorations. This paper presents a domain ontology that formally describes the knowledge of the domain problem that the VirDenT e-learning system dealt with. The ontology was developed based on the UML models of the VirDenT information system, making sure in this way the ontology captures knowledge identified and described in the analysis of the information system. At first, we constructed the taxonomy of these concepts, using the DOLCE ontology and its modules. Then, we defined the conceptual relations between the concepts. We also added SWRL rules that formally describe the business rules and knowledge previously identified. Finally, with the assistance of the Pellet reasoner system, we checked the ontology consistency.

Realization of Adaptive Learning Content Based on Learning Object and Domain Ontology

2010 ◽  
Vol 171-172 ◽  
pp. 527-530
Author(s):  
Xu Wei
Keyword(s):  
Information Technology ◽  
Adaptive Learning ◽  
New Technologies ◽  
Domain Ontology ◽  
Learning System ◽  
Learning Object ◽  
Modern Education ◽  
Learning Content ◽  
E Learning ◽  
Adaptive Content

With the evolution of information technology, E-learning has spread rapidly. Traditional E-learning has proved not fit requirement of modern education, new trend of developing the adaptive and customized E-learning system draws more and more attentions from researchers and practitioners. In this paper, we proposed an E-learning system which can provide adaptive content according to different situations of user. To achieve the adaptive E-learning system, two new technologies have been adopted by the system: learning object and domain ontology. Using these two technologies the system can provide intelligent learning content based on the user’s context, knowledge’s context. The paper also presents a scenario to demonstrate the step of production of adaptive learning content.

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