logseq/pages/hls__MODELS23-DS_paper_19_1690904555411_0.md

file:: MODELS23-DS_paper_19_1690904555411_0.pdf file-path:: ../assets/MODELS23-DS_paper_19_1690904555411_0.pdf

• , a wider adoption of NoSQL has been hindered by a few challenge ls-type:: annotation hl-page:: 1 hl-color:: green id:: 64dc9771-a97b-46bb-9168-39b3a33c3d14
• he heterogeneous nature of NoSQL databases creates a complex and diverse landscape of query languages and interfaces requiring extensive and wideranging expertise ls-type:: annotation hl-page:: 1 hl-color:: green id:: 64dc97d4-1f88-4465-b725-736797bc26c1
• I propose an approach integrating artificial intelligence techniques in NoSQL life cycles, namely: data modeling, querying and quality assessment. ls-type:: annotation hl-page:: 1 hl-color:: green id:: 64dc9a52-e67e-4b46-9a3f-4fbfe0eb1fed
• uniform design methodology for NoSQL databases, an intelligent bi-directional mapping between higher and lower level NoSQL schema representations, the generation of logical and physical NoSQL data models from requirements specified in natural language, intelligent and bi-directional generation of a NoSQL query from a prompt expressed in natural language, and a multi-stakeholder NoSQL databaseagnostic quality characterization framework ls-type:: annotation hl-page:: 1 hl-color:: green id:: 64dc9a73-5ef4-4b30-94fe-362033dd9978
• NoSQL databases are generally categorized into Document, Key-Value, Column-Family and Graph databases ls-type:: annotation hl-page:: 1 hl-color:: green id:: 64dcd5e2-e677-4636-919c-b0b464b8935c
• hinder their interoperability, and require major adjustments in order to operate them in conjunction with each other, whether in the context of polyglot persistence, multimodel databases or in other real-world applications. ls-type:: annotation hl-page:: 1 hl-color:: green id:: 64dcddbc-448a-463f-8ac2-f27cf72ec8b7
• To that end, my work proposes an approach incorporating artificial intelligence techniques to construct a fully integrated system for NoSQL data modeling, querying and quality characterization life cycle. This objective would have a substantial impact on the democratization of NoSQL database use. ls-type:: annotation hl-page:: 2 hl-color:: yellow id:: 64dcddda-22ce-4091-b775-0261ed1ea9ed
• ow can Artificial Intelligence techniques be leveraged for the unification and mapping of NoSQL data models in all representation levels? ls-type:: annotation hl-page:: 2 hl-color:: green id:: 64dd51c2-8c3e-463c-bed6-9afd08b0fa84
• ow can Artificial Intelligence be leveraged for the conceptualization of a lingua franca for NoSQL query languages and for the inclusion of natural language querying for NoSQL? ls-type:: annotation hl-page:: 2 hl-color:: green id:: 64dd51ce-ad30-44e9-9812-2593425edab4