Ontology Development to Handle Semantic Relationship between Moodle E-learning and Question Bank System

Distributed and various systems on learning environment produce heterogeneity data in data level implementation. Heterogeneity data on learning environment is about different data representation between learning system. This problem makes the integration problem increasingly complex. Semantic relationship is a very interesting issue in learning environment case study. Difference data representation on each data source makes numerous systems difficult to communicated and integrated with the others. Many researchers found that the semantic technology is the best way to resolve the heterogeneity data representation issues. Semantic technology can handle heterogeneity of data, data with different representations in different data sources. Semantic technology also can do data mapping from different database and different data format that have same meaning data. This paper focuses on semantic data mapping to handle the semantic relationship on heterogeneity data representation using semantic ontology approach. In the first level process, using D2RQ engine to produce turtle (.ttl) file format that can be used for Local Java Application using Jena Library and Triple Store. In the second level process we develop ontology knowledge using protege tools to handle semantic relationship. In this paper, produce ontology knowledge to handle a semantic relationship between Moodle E-learning system and Question Bank system.

[1]  Silvana Castano,et al.  Global Viewing of Heterogeneous Data Sources , 2001, IEEE Trans. Knowl. Data Eng..

[2]  Dejing Dou,et al.  Using ontology databases for scalable query answering, inconsistency detection, and data integration , 2011, Journal of Intelligent Information Systems.

[3]  Tadeusz Pankowski.  XML data integration in SixP2P: a theoretical framework , 2008, DaMaP '08.

[4]  Yuh-Jen Chen.  Knowledge integration and sharing for collaborative molding product design and process development , 2010, Comput. Ind..

[5]  Ning Zhang,et al.  Research on E-learning with Digital Technology in Distance Education , 2010, 2010 International Conference on e-Education, e-Business, e-Management and e-Learning.

[6]  Krešimir Fertalj,et al.  EAI issues and best practices , 2009 .

[7]  Dan Wang,et al.  A Strategic Framework for Enterprise Information Integration of ERP and E-Commerce , 2007, CONFENIS.

[8]  Marcelo Arenas,et al.  XML data exchange: consistency and query answering , 2005, PODS '05.

[9]  Thomas Dietinger,et al.  Aspects of E-Learning Environments , 2003 .

[10]  Rahul RaiPrincipal Investigator.  Collaborative Research: Knowledge Representation and Design for Managing Product Obsolescence , 2014 .

[11]  Ladjel Bellatreche,et al.  Contribution of ontology-based data modeling to automatic integration of electronic catalogues within engineering databases , 2006, Comput. Ind..

[12]  Tadeusz Pankowski.  Management of Executable Schema Mappings for XML Data Exchange , 2006, EDBT Workshops.

[13]  N.D. Georganas,et al.  An implementable architecture of an e-learning system , 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

[14]  Luciano Serafini,et al.  Peer-to-peer semantic coordination , 2004, J. Web Semant..

[15]  R. Sunitha,et al.  Towards Learner Model Sharing Among Heterogeneous E-Learning Environments , 2011 .

[16]  Vipul Kashyap,et al.  Semantic heterogeneity in global information systems: The role of metadata , 1996 .

[17]  Jungyun Seo,et al.  Classifying schematic and data heterogeneity in multidatabase systems , 1991, Computer.

[18]  Aris M. Ouksel,et al.  Distributed databases and peer-to-peer databases: past and present , 2008, SGMD.

[19]  Diego Calvanese,et al.  Logical foundations of peer-to-peer data integration , 2004, PODS '04.