Formulating second-order logic conditions in SQL

Kawash, Jalal

doi:10.1145/2656450.2656452

Cited by 3 publications

(1 citation statement)

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“…SQL queries and database programming poses learning challenges to students [15,30,43]. As a result, several research has evolved strategies on how to reduce the amount of difficulty and challenges faced by SQL/database students.…”

Section: Purpose and Scopementioning

confidence: 99%

An SQL Domain Ontology Learning for Analyzing Hierarchies of Structures in Pre-Learning Assessment Agents

2020

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This 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 interdependent. 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 < D > , PrerequisiteConcept < C > and LeafNodes < N > 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.

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Section: Purpose and Scopementioning

confidence: 99%