Semantic Web Architecture and its Impact on E-learning Systems Development

The Semantic Web is the next giant step of the current web technology. The use and application of the Semantic Web in E-learning has been explored with regard to two areas: 1) software that supports instructors to perform their tasks in flexible online educational settings, and 2) software that interprets the structure of distributed, self organized, and self-directed web-based learning. These two application areas and related tasks require a semantic representation of educational entities and pedagogical material, specifically the structure and the techniques of the teaching-learning process. In most E-learning systems users are able to manage and reuse learning contents according to their needs without any access problems. The main objectives of this study are: how can e-learning take advantage of Semantic Web technology, and how to integrate the Semantic Web technologies with e-learning systems, taking into consideration the standards and reusable learning objects (LO), and to show the advantages of improving the descriptions of content, context and structure of the learning material. The main goal of this article it to introduce an updated E-learning model based on the latest Semantic Web architectures.

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Text Mining-Based Semantic Web Architecture (TMSWA) for e-Learning Systems

International Journal of Machine Learning and Computing ◽

10.7763/ijmlc.2014.v4.433 ◽

2014 ◽

Vol 4 (4) ◽

pp. 333-338

Author(s):

Hamad Ibrahim Alomran

Keyword(s):

Text Mining ◽

Semantic Web ◽

Learning Systems ◽

Web Architecture ◽

E Learning

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Ontologies in Intelligent Learning Systems

Intelligent Learning Systems and Advancements in Computer-Aided Instruction ◽

10.4018/978-1-61350-483-3.ch003 ◽

2012 ◽

pp. 31-48

Author(s):

Boryana Deliyska ◽

Peter Manoilov

Keyword(s):

Semantic Web ◽

Learning Process ◽

Learning Objects ◽

Learning Systems ◽

Learning Object ◽

Structural Learning ◽

Principal Role ◽

Web Resources ◽

Human Tutor ◽

E Learning

The intelligent learning systems provide a direct customized instruction to the learners without intervention of human tutor on the base of Semantic Web resources. The principal role ontologies play in these systems is as an instrument for modeling learning process, learner, learning objects, and resources. In the chapter, a variety of relationships and conceptualizations of ontologies used in the intelligent learning systems are investigated. The utilization of domain and application ontologies in learning object building and knowledge acquisition is represented. The conceptualization of domain ontologies in e-learning is presented by the upper levels of its taxonomies. Moreover, a method and an algorithm intended for generation of application ontologies of structural learning objects (curriculum, syllabus, topic plan, etc.) are developed. Examples of curriculum and syllabus application ontologies are given. Further these application ontologies are used for structural learning object generation.

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Classroom for the Semantic Web

Intelligent Learning Infrastructure for Knowledge Intensive Organizations ◽

10.4018/978-1-59140-503-0.ch009 ◽

2005 ◽

pp. 251-283 ◽

Cited By ~ 1

Author(s):

Goran Shimic ◽

Dragan Gasevic ◽

Vladan Devedzic

Keyword(s):

Semantic Web ◽

Petri Net ◽

Learning Systems ◽

Learning Materials ◽

Semantic Web Technologies ◽

Web Based ◽

Tutoring Systems ◽

Web Technologies ◽

E Learning ◽

Server System

This chapter emphasizes integration of Semantic Web technologies in intelligent learning systems by giving a proposal for an intelligent learning management system (ILMS) architecture we named Multitutor. This system is a Web-based environment forth development of e-learning courses and for the use of them by the students. Multitutor is designed as a Web-classroom client-server system, ontologically founded, and is built using modern intelligent and Web-related technologies. This system enables the teachers to develop tutoring systems for any course. The teacher has to define the metadata of the course: chapters, the lessons and the tests, the references of the learning materials. We also show how the Multitutor system can be employed to develop learning systems that use ontologically created learning materials as well as Web services. As an illustration we describe a simple Petri net teaching system that is based on the Petrinet infrastructure for the Semantic Web.

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Building and Use of a LOM Ontology

Ontology Theory, Management and Design ◽

10.4018/978-1-61520-859-3.ch007 ◽

2010 ◽

pp. 162-178

Author(s):

Ghebghoub Ouafia ◽

Abel Marie-Hélène ◽

Moulin Claude ◽

Leblanc Adeline

Keyword(s):

Semantic Web ◽

Learning Objects ◽

Shared Understanding ◽

Learning Resources ◽

Access Management ◽

Semantic Web Technologies ◽

Web Technologies ◽

E Learning ◽

The Web ◽

Available Resources

The increasing number of available resources that may be used during e-learning can raise problems of access, management and sharing. An e-learning application therefore shares the same problem of relevance to the Web concerning the access to learning resources. Semantic web technologies provide promising solutions to such problems. One main feature of this new web generation is the shared understanding based on ontologies. This chapter presents an approach to index learning resources semantically using a LOM ontology. This ontology was developed to clarify the concepts, and to describe the existing relations between elements of the LOM standard. The author present also our tool based on this ontology which allows to describe learning objects and helps retrieving them.

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Building Interoperable Learning Objects Using Reduced Learning Object Metadata

E-Learning and Digital Media ◽

10.2304/elea.2005.2.3.9 ◽

2005 ◽

Vol 2 (3) ◽

pp. 299-313

Author(s):

Mostafa S. Saleh

Keyword(s):

Semantic Web ◽

Learning Community ◽

Learning Objects ◽

Web Technology ◽

Learning Object ◽

Learning Standards ◽

Semantic Web Technology ◽

Learning Object Metadata ◽

E Learning ◽

Learning Object Repositories

The new e-learning generation depends on Semantic Web technology to produce learning objects. As the production of these components is very costly, they should be produced and registered once, and reused and adapted in the same context or in other contexts as often as possible. To produce those components, developers should use learning standards to describe these objects in order to support interoperability. IEEE Learning Object Metadata (LOM) is the most dominant standard for describing learning objects, in which 76 different elements are used to describe the different aspects of e-learning. Nonetheless, it will still be time consuming to build these learning objects. This paper introduces a model for building Global Interoperable Learning Objects (GILO) for the e-learning community. This is achieved by using a reduced set of the LOM elements, and giving a unique global ID to the learning object. This will enable software agents to query these learning object repositories, to automatically deliver the required material to the e-learning consumer.

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The Integrated Environment for Learning Objects Design and Storing in Semantic Web

International Journal of Computers Communications & Control ◽

10.15837/ijccc.2018.1.3074 ◽

2018 ◽

Vol 13 (1) ◽

pp. 39

Author(s):

Valentina Dagiene ◽

Daina Gudoniene ◽

Reda Bartkute

Keyword(s):

Semantic Web ◽

Learning Objects ◽

Learning Systems ◽

Learning Object ◽

Learning Methods ◽

Integrated Learning Systems ◽

Integrated Environment ◽

E Learning ◽

Learning Object Repositories ◽

Effective Design

There is a variety of tools and environments for Learning Objects (LOs) design and delivery as well as learning object repositories (LOR) but the researchers could not find a repository that includes both functions: creation and storing of LOs. A number of different integrated learning systems are suggested for users that demonstrate the variety of e-learning methods and semantic capabilities. LO repository oer.ndma.lt/lor, that we are going to present, is very friendly and interoperable to use and assure LO design, search in semantic web, adaptation of the re-used objects and storing. There are no more existing LO repositories with the functionality presented by researchers. Transformation of closed education into open one without existence of well-structured, multifunctional and integrated environment becomes problematic. Authors will present an integrated environment for the LO design, search in semantic web, adaptation and storing of newly designed or re-designed LO. Measures will support the transformation of closed education into open and will assure effective design, re-usability and adaptation of LO in the integrated environment.

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Relevant Influence of Semantic Web Framework on Smart E-Learning Environment

International Journal of Emerging Technologies in Learning (iJET) ◽

10.3991/ijet.v16i17.24105 ◽

2021 ◽

Vol 16 (17) ◽

pp. 177

Author(s):

Subhabrata Sengupta ◽

Anish Banerjee ◽

Satyajit Chakrabarti

Keyword(s):

Online Learning ◽

Semantic Web ◽

Learning Objects ◽

Learning System ◽

Semantic Web Technologies ◽

Educational Management ◽

Learning Framework ◽

Self Organized ◽

E Learning ◽

Efficient Learning

E-Learning systems have unbound prospects to deliver unmatched effective learning services and feedback assistance than what it is presently offering through mediums like online tutoring, or other electronic educational management services. Different stages and application potentials of Semantic Web technology and it’s architecture can be applied at different sectors and phases of the E-Learning framework to amplify the quality and versatility of services. Features of Semantic Web have been explored in the sectors with respect to instructors to plan, analyse and execute their tasks and also in making a sustainable system that interprets the structure of distributed, self organized, and self-instructed online learning to monitor it’s influence on performance. The main objective of this work is to study how electronic and online learning frameworks can be improved and enhanced by the influence of semantic web technologies in understanding and simplifying concept clarification and description, reusable learning objects (LOs), and benefits of the applying ontology in describing the learning materials for a better and more efficient learning system.

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Creating an Advanced Web Based Environment using Semantic Web

International Journal of Management, Technology, and Social Sciences ◽

10.47992/ijmts.2581.6012.0015 ◽

2017 ◽

pp. 38-44 ◽

Cited By ~ 1

Author(s):

Panchajanyeswari M Achar

Keyword(s):

Learning Environment ◽

Learning Objects ◽

Learning Systems ◽

Personalized Recommendation ◽

Learning Material ◽

Web Based ◽

Learning Content ◽

User Query ◽

E Learning ◽

Learner Profile

E-learning systems are of no help to the users if there are no powerful search engines and browsing tools to assist them. Most of the current web-based learning systems are closed systems where the courses and the learning material are fixed. The only thing that is dynamic is that the organization of the learning content is adapted to allow individualized learning environment. The learners of web-based e-learning systems belong to different categories based on their skills, background, preferences and learning styles. This paper focuses on personalized semantic search and recommending learning content that are appropriate to the learning environment. The semantic and personalized search of the learning content is based on comparison of the learner profile. The learner profile depends on re individual learning style of the user and learning objects’ metadata. This concept needs to be represented both in the learner profile as well as learning object description as certain data structures. Personalized recommendation of learning objects uses an approach to determine a more suitable relationship between learning objects and learning profiles. Thus, it may advise a learner with most suitable learning objects. Semantic learning objects search is based on the query expansion of the user query and by using the semantic similarity to retrieve semantic matched learning objects.

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Integration of the tagging mechanism in the collaborative e-learning system

Applied Computer Systems ◽

10.2478/v10312-012-0007-1 ◽

2012 ◽

Vol 13 (1) ◽

pp. 54-60

Author(s):

Andrejs Lesovskis ◽

Vladimirs Kotovs ◽

Leonids Novickis

Keyword(s):

Learning Environment ◽

Semantic Web ◽

Learning Systems ◽

Learning System ◽

Semantic Web Technologies ◽

Web Technologies ◽

Combined Use ◽

E Learning ◽

Machine Readable

Abstract - The tagging mechanism is a technique that can be used to implement the personalized collaboration in the e-Learning systems, thereby increasing the efficiency of such a system. Semantic Web technologies can be used to enhance tags with machine-readable annotations to improve the accuracy of tag-based recommendation services. The novelty of the proposed approach is the combined use of the Semantic Web technologies and the reuse-oriented model in the development of the e-Learning environment.

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