Domain Ontology as a Resource Providing Adaptivity in eLearning

Angelova, Galia; Kalaydjiev, Ognian; Strupchanska, Albena

doi:10.1007/978-3-540-30470-8_81

Cited by 15 publications

(11 citation statements)

References 6 publications

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“…In another research [10], Guangzuo integrated the grid computing, ontology and other related technologies to present a more flexible educational platform architecture. In general, the ontology technology plays the role of making the contents of an e-Learning system be easily shared and reused [21,19,22,2]. For instance, the course contents on different e-Learning systems may have different structures.…”

Section: Related Workmentioning

confidence: 99%

“…(1) One course taught by many instructors: In this case, instructors of the same course may have different background or come from different departments or even different universities. (2) One course using several reference books: The other case is that most, if not all, of the instructors will base their teaching material on some reference books, or students can find the related information from other books or articles. These two observations exist often enough in both the traditional learning and e-Learning environments, and they eventually answer the first question we stated previously.…”

Section: Introductionmentioning

confidence: 99%

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An Ontology-Based Method for Integrating Heterogeneous Itembanks

Tsai

Tseng

Yang

et al. 2009

2009 Ninth International Conference on Intelligent Systems Design and Applications

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In this paper, we present a simple but efficient algorithm for integrating a collection of heterogeneous itembanks, called Heterogeneous Itembanks Integrator (HIBI). This algorithm is motivated by the desire to integrate itembanks provided by publishers to the users of an e-Learning system, which generally use different content structures. The proposed algorithm starts off with one of the itembanks as a reference itembank. All the items on the other itembanks are integrated into the reference itembank to create the so-called meta-itembank. Moreover, by treating the metaitembank thus created as the reference itembank, it can be easily extended by using exactly the same algorithm. We also use the concept of ontology to share itemsets with other systems. The experimental results showed that the proposed algorithm can provide an extremely high quality result in terms of both the relevance of items and the computation time in Chinese itemsets.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Ontology-Based Method for Integrating Heterogeneous Itembanks

Tsai

Tseng

Yang

et al. 2009

2009 Ninth International Conference on Intelligent Systems Design and Applications

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“…Some authors (e.g., Magnin, Snoussi, & Nie, 2002& Bredeweg & Forbus, 2002 utilize ontologybased semantics to improve the analyses of information in unstructured documents. The domain ontology plays a central role as a resource structuring the learning content (Angelova et al, 2004). One of the key challenges of the course construction process is to identify the information abstract domain within which this course will exist.…”

Section: Introductionmentioning

confidence: 99%

An application of intelligent techniques and semantic web technologies in e-learning environments

Gladun

Rogushina

García‐Sánchez

et al. 2009

Expert Systems with Applications

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“…The domain ontology plays a central role as a resource structuring the learning content [9]. One of the key challenges of the course construction process is to identify the abstract domain of information within which this course will exist.…”

Section: B Transformation Of Trainer-learner Interaction In Thementioning

confidence: 99%

“…On the basis of the existing E-Learning MAS analysis [5][6][7][8][9] the requirements to software realization are formulated as follows: Therefore system should support safety means that are sufficient for its normal work. For development of logic model of MAS we use UML language.…”

Section: Prototype Implementation and Future Multi-agent Technologymentioning

confidence: 99%

Domain Ontology, an Instrument of Semantic Web Knowledge Management in e-Learning

Gladun¹,

Rogushina

Schreurs

2012

Int. J. Adv. Corp. Learn.

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Abstract-Domain ontology is proposed as an instrument for controlling of e-learning course results. This approach instead of traditional testing more objectively reflects the structure of students' knowledge. Use of ontologies for knowledge representation provides interoperability of the used testing systems. The domain knowledge has been found and reuse in the semantic web world. Domain ontology developing is based on the principles of ontological analysis. The method of it's use for evaluation of the learners' knowledge results is based on matching of the learners' ontology with the reference ontology proposed by the trainer/tutor. A multi-agent system for e-learning (M(e)L ) has been defined and a prototype system has been developed. In a case, the domain ontology and the semantic web representation has been applied in two e-learning university courses.

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Domain Ontology as a Resource Providing Adaptivity in eLearning

Cited by 15 publications

References 6 publications

An Ontology-Based Method for Integrating Heterogeneous Itembanks

An Ontology-Based Method for Integrating Heterogeneous Itembanks

An application of intelligent techniques and semantic web technologies in e-learning environments

Domain Ontology, an Instrument of Semantic Web Knowledge Management in e-Learning

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