Knowledge Representation of LMS using Ontology

Srimathi, H.

doi:10.5120/1058-1380

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…Three more operators in EHCPR are Has_part, Has_property, Has_instance which define the structural parts, characteristic properties and instances respectively. γ, δ defines the strength of implication (Casellas et al, 2005;Jain et al, 2015;Jain & Mishra, 2014).…”

Section: Gaps Of the Existing Upper Ontologiesmentioning

confidence: 99%

Sup_Ont

Malik

Jain

2021

International Journal of Web-Based Learning and Teaching Technologies

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A domain-independent conceptual model that aims to be highly reusable across specific domain applications is provided by upper-level ontologies which usually describe abstract concepts. In this paper, the authors proposed Sup_Ont, a fundamental upper ontology. In this ontology, the structure of the universe shows the concept of reality that is defined to have an existence which is known as truth. The devised super ontology and hence the domain ontologies can be reused across applications because of the generalized representation scheme used that is an EHCPR. An extended hierarchical censored production rules (EHCPRs) system is a knowledge representation system for reasoning with real-life problems and a step towards a generalized representation system. An EHCPR is a unit of knowledge resulting in a knowledge base that shows modularity and hierarchy. Extended hierarchical censored production rules (EHCPRs) have been used to represent the knowledge in intelligent systems.

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Section: Gaps Of the Existing Upper Ontologiesmentioning

confidence: 99%

Sup_Ont

Malik

Jain

2021

International Journal of Web-Based Learning and Teaching Technologies

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“…This paper focus on integrating the above said principles on semantic educational servers with the power of eLearning standards. The knowledge items (learning objects) are linked to commonly agreed ontology [15].…”

Section: B Consider Reusing Existing Ontologiesmentioning

confidence: 99%

Towards an Ontology to Describe the Taxonomy of Common Modules in Learning Management Systems

Marín¹,

Lovelle²,

Martínez³

et al. 2011

IJIMAI

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This article have the objective a create ontology for "common modules in a Learning Management Systems", the steps for the build Ontology were: Determine the domain and scope of the ontology, Consider reusing existing ontology, Enumerate important terms in the ontology, Define the classes and the class hierarch, Define the properties of classes-slot and Define the facets of the slot, finally be explained how the ontology is composed.

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“…A LCMS is an environment where developers can create, store, reuse, manage, and deliver learning content from a central object repository, usually a database. LCMSs generally work with content that is based on a learning object model (Srimathi, 2010). These systems usually have good search capabilities, allowing developers to quickly find the text or media needed to build training content.…”

Section: An Online Training Within An Eprescribing Servicementioning

confidence: 99%

“…Ontologies can also enhance the management, distribution and retrieval of the learning material within a LMS and therefore play a relevant role in eLearning procedure.The objective of a LMS and a LCMS is different: the primary objective of a LMS is to manage learners, keeping track of their progress and performance across all types of training activities (Hall, 2003;Srimathi, 2010). On the other hand, the main focus of LCMSs is on achieving personalized learning on demand (LOD) to drive performance in an organization by delivering content to learners to solve business problems (Díaz-Antón and Pérez, 2006).…”

Section: An Online Training Within An Eprescribing Servicementioning

confidence: 99%

Embedding on-Line Training in an E-Prescribing Service

Papakonstantinou

Malamateniou

Vassilacopoulos

2011

Proceedings of the International Conference on Knowledge Management and Information Sharing

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As the number of prescriptions rising nationally each year, Electronic Prescribing (ePrescribing) has been described as the solution to improved patient safety and reduced medication costs. Web-based technology should be fully embraced in the pharmacy industry as an aid to improve not only effectiveness and efficiency but also quality of health services, by reducing the number of errors that may be incurred with handwritten prescriptions. Healthcare information systems are facing the challenge of attempting to satisfy the needs of both novice and expert users, focusing on a high likelihood of physician adoption of ePrescribing. An ePrescribing service that premises a reusable, flexible, agile and adaptable training content with the objective to enable healthcare professionals instil their knowledge and expertise in the ePrescribing process, it may conduct to ePrescribing adoption. To this end, an online training embedded within the ePrescribing service could be used as it offers an intuitive, clear, how-to instruction on performing each action that the system provides to the user. In this paper the training content is provided as a system embedded within the ePrescribing service, using a learning management system (LMS) and to this end, the online training system acts as a collective online memory containing training material, contributing to the adoption of the ePrescribing service.

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Knowledge Representation of LMS using Ontology

Cited by 8 publications

References 14 publications

Sup_Ont

Sup_Ont

Towards an Ontology to Describe the Taxonomy of Common Modules in Learning Management Systems

Embedding on-Line Training in an E-Prescribing Service

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