Instance-Based Ontology Matching For Open and Distance Learning Materials

Cerón-Figueroa, Sergio; López-Yáñez, Itzamá; Villuendas-Rey, Yenny; Camacho-Nieto, Oscar; Aldape-Pérez, Mario; Yáñez-Márquez, Cornelio

doi:10.19173/irrodl.v18i1.2681

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…For the first trial test according the [50], the OAEI 2014 data bank was used, for undertaking the problem of Instance Matching Track, more precisely for the Identity Recognition Task [47] and specifically is to find an appropriate similarity function, in order to build pairs of objects which are actually close in meaning. Through the adequate use of a given similarity function, the ontologies matching problem transformed into a binary pattern classification problem.…”

Section: Datamentioning

confidence: 99%

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A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System

Demertzi¹,

Demertzis²

2020

Preprint

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The implementation of teaching interventions in learning needs has received considerable attention, as the provision of the same educational conditions to all students, is pedagogically ineffective. In contrast, more effectively considered the pedagogical strategies that adapt to the real individual skills of the students. An important innovation in this direction is the Adaptive Educational Systems (AES) that support automatic modeling study and adjust the teaching content on educational needs and students' skills. Effective utilization of these educational approaches can be enhanced with Artificial Intelligence (AI) technologies in order to the substantive content of the web acquires structure and the published information is perceived by the search engines. This study proposes a novel Adaptive Educational eLearning System (AEeLS) that has the capacity to gather and analyze data from learning repositories and to adapt these to the educational curriculum according to the student skills and experience. It is a novel hybrid machine learning system that combines a Semi-Supervised Classification method for ontology matching and a Recommendation Mechanism that uses a hybrid method from neighborhood-based collaborative and content-based filtering techniques, in order to provide a personalized educational environment for each student.

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Section: Datamentioning

confidence: 99%

“…In this experiment according the [50], a total of 100 1:1 matching examples were constructed from both ontologies. The features extraction takes into account for the pattern structure: title, description, keywords, and type of resource.…”

Section: Datamentioning

confidence: 99%

A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System

Demertzi¹,

Demertzis²

2020

Preprint

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Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications

Yáñez-Márquez

López-Yáñez

Aldape-Pérez

et al. 2017

Neural Process Lett

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An Enhanced Technology for Ontology Mapping

Patil

2024

International Journal of Innovative Science and Research Techno

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The process of defining content from different ontologies is time-consuming, tedious and error-prone. To solve these problems, new methods for ontology comparison have been developed. This process focuses on the integration of ontologies for various applications, but also requires maintaining the integrity of the integrated ontologies. The concept ontology associated with integration is designed to be more efficient, accurate and useful. You can combine these two and compete together to increase accuracy. Comparing this approach with existing methods should provide greater accuracy and efficiency in ontology comparison.

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Instance-Based Ontology Matching For Open and Distance Learning Materials

Abstract: The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance

Cited by 3 publications

References 34 publications

A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System

A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System

Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications

An Enhanced Technology for Ontology Mapping

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