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dc.contributor.authorEhimwenma, Kennedy E.en_US
dc.contributor.authorCrowther, Paulen_US
dc.contributor.authorBeer, Martinen_US
dc.contributor.authorAl‑Sharji, Safiyaen_US
dc.identifier.citationEhimwenma, K. E., Crowther, P., Beer, M., & Al-Sharji, S. (2020). An SQL domain ontology learning for analyzing hierarchies of structures in pre-learning assessment agents. SN Computer Science, 1(6), 1-19.en_US
dc.description.abstractThis paper presents the use of description logics (DL) in the definition and development of a Structured Query Language (SQL) domain ontology for a multi-agent based pre-assessment system. Description logics is a knowledge representation language for defining terms or classes, the relationships between classes, their instances, including individuals and literals. In a formal school curriculum, modules of learning are inter-dependent. So, teaching and learning follows an ordered sequence of learning from lower-level module(s) to higher-level ones. This process enables students to gain mastery of lower-level materials before moving up the ladder to higher-level learning. To describe an SQL ontology and its representation for a multi-agent based system application, this paper uses a description logic language to present the organization of learning modules into DesiredConcept <DD>, PrerequisiteConcept <CC> and LeafNodes <NN> as well as their associated relationships, namely, hasPrerequisite and hasKB between the learning modules. The paper thus presents a TBox and an Abox of a DL ontology and further transformation into a first-order predicate for a multi-agent based system that was implemented in Jason.en_US
dc.format.extent19 pagesen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofSN Computer Scienceen_US
dc.subject.lcshKnowledge Representationen_US
dc.subject.lcshDescription Logicsen_US
dc.subject.lcshFirst-order Logicen_US
dc.subject.lcshSemantic Weben_US
dc.titleAn SQL domain ontology learning for analyzing hierarchies of structures in pre‑Learning assessment agentsen_US
dc.rights.licenseAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
wku.groupCollege of Science and Technologyen_US
dc.subject.keywordsSQL Ontologyen_US
dc.subject.keywordsTeaching and Learningen_US
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