Implementation of Protus2.0 by Ontology for Advanced E Learning
L.Lakshmanan1, D.C.Tomar2, Japala Saikrishna Rao3
1Mr. L. Lakshmanan, Research Scholar, Department of Computer Science and Engineering, Sathyabama University, Chennai, India.
2D.C. Tomar, Senior Professor, Department of IT, Jerusalem College of Eng & Technology, Chennai, India.
3Japala Saikrishna Rao, PG Scholar, Department of Computer Science and Engineering, Sathyabama University, Chennai, India.
Manuscript received on March 24, 2014. | Revised Manuscript received on April 13, 2014. | Manuscript published on April 30, 2014. | PP: 38-40 | Volume-3, Issue-4, April 2014. | Retrieval Number: D2788043414/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: TProtus2.0 E_ learning environment is used in learning process for decision making, communication and problem-solving. The semantic web used in real-time annotations of these ontology for debriefing of the students, student self study and better guidance of the learning methodologies of mentors.A ever-present methodology environment will provides an interoperable, pervasive, and flawless learning structural design to connect, fix together, and share three major scope of learning resources such as learning collaborators, learning services, and learning contents. ever-present learning is characterized for identify right learning collaborators, right learning contents and right learning services in the right place at the right time. it promotes the achievement of practical knowledge as well as decision production, communication, and problem solving with help of ontological Skills-based learning environments. These environments are a important to give feedback about the students from the practically conducted sessions and comments of learners actions can notify to the assessment of their quality process. And also, those learning environments are helping to the researchers for better understand the learning process. The proposed system examined study environments. Also, achieve the better student improving the knowledge as well as feedback of the understanding of learning environments; we proposed a new mechanism such as semantic based approach with the ontology is used.
Keywords: Semantic web, Ontology mapping methods, fuzzy logic, Fuzzy grouping, k-means algorithms, Tutorial systems.